id	sid	tid	token	lemma	pos
ajase-5938	1	1	pa	pa	PROPN
ajase-5938	1	2	ge	ge	PROPN
ajase-5938	1	3	1	1	NUM
ajase-5938	1	4	pa	pa	PROPN
ajase-5938	1	5	ge	ge	PROPN
ajase-5938	1	6	12	12	NUM
ajase-5938	1	7	7	7	NUM
ajase-5938	1	8	american	american	ADJ
ajase-5938	1	9	journal	journal	NOUN
ajase-5938	1	10	of	of	ADP
ajase-5938	1	11	applied	apply	VERB
ajase-5938	1	12	statistics	statistic	NOUN
ajase-5938	1	13	and	and	CCONJ
ajase-5938	1	14	economics	economic	NOUN
ajase-5938	1	15	(	(	PUNCT
ajase-5938	1	16	ajase	ajase	ADV
ajase-5938	1	17	)	)	PUNCT
ajase-5938	1	18	maximizing	maximize	VERB
ajase-5938	1	19	predictive	predictive	ADJ
ajase-5938	1	20	regression	regression	NOUN
ajase-5938	1	21	and	and	CCONJ
ajase-5938	1	22	dimensionality	dimensionality	NOUN
ajase-5938	1	23	reduction	reduction	NOUN
ajase-5938	1	24	techniques	technique	NOUN
ajase-5938	1	25	:	:	PUNCT
ajase-5938	1	26	evidence	evidence	NOUN
ajase-5938	1	27	from	from	ADP
ajase-5938	1	28	monte	monte	PROPN
ajase-5938	1	29	carlo	carlo	PROPN
ajase-5938	1	30	’s	’s	PART
ajase-5938	1	31	simulation	simulation	PROPN
ajase-5938	1	32	study	study	PROPN
ajase-5938	1	33	oluwafemi	oluwafemi	PROPN
ajase-5938	1	34	clement	clement	PROPN
ajase-5938	1	35	onifade1	onifade1	PROPN
ajase-5938	1	36	*	*	PROPN
ajase-5938	1	37	,	,	PUNCT
ajase-5938	1	38	samuel	samuel	PROPN
ajase-5938	1	39	olayemi	olayemi	PROPN
ajase-5938	1	40	olanrewaju1	olanrewaju1	PROPN
ajase-5938	1	41	,	,	PUNCT
ajase-5938	1	42	emmanuel	emmanuel	PROPN
ajase-5938	1	43	segun	segun	VERB
ajase-5938	1	44	oguntade1	oguntade1	PROPN
ajase-5938	1	45	volume	volume	NOUN
ajase-5938	1	46	4	4	NUM
ajase-5938	1	47	issue	issue	NOUN
ajase-5938	1	48	1	1	NUM
ajase-5938	1	49	,	,	PUNCT
ajase-5938	1	50	year	year	NOUN
ajase-5938	1	51	2025	2025	NUM
ajase-5938	1	52	issn	issn	NOUN
ajase-5938	1	53	:	:	PUNCT
ajase-5938	1	54	2992	2992	NUM
ajase-5938	1	55	-	-	PUNCT
ajase-5938	1	56	927x	927x	NOUN
ajase-5938	1	57	(	(	PUNCT
ajase-5938	1	58	online	online	ADJ
ajase-5938	1	59	)	)	PUNCT
ajase-5938	1	60	doi	doi	NOUN
ajase-5938	1	61	:	:	PUNCT
ajase-5938	1	62	https://doi.org/10.54536/ajase.v4i1.5938	https://doi.org/10.54536/ajase.v4i1.5938	ADJ
ajase-5938	1	63	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5938	1	64	article	article	NOUN
ajase-5938	1	65	information	information	NOUN
ajase-5938	1	66	abstract	abstract	ADV
ajase-5938	1	67	received	receive	VERB
ajase-5938	1	68	:	:	PUNCT
ajase-5938	1	69	august	august	PROPN
ajase-5938	1	70	16	16	NUM
ajase-5938	1	71	,	,	PUNCT
ajase-5938	1	72	2025	2025	NUM
ajase-5938	1	73	accepted	accept	VERB
ajase-5938	1	74	:	:	PUNCT
ajase-5938	1	75	september	september	PROPN
ajase-5938	1	76	19	19	NUM
ajase-5938	1	77	,	,	PUNCT
ajase-5938	1	78	2025	2025	NUM
ajase-5938	1	79	published	publish	VERB
ajase-5938	1	80	:	:	PUNCT
ajase-5938	1	81	october	october	PROPN
ajase-5938	1	82	18	18	NUM
ajase-5938	1	83	,	,	PUNCT
ajase-5938	1	84	2025	2025	NUM
ajase-5938	1	85	this	this	DET
ajase-5938	1	86	study	study	NOUN
ajase-5938	1	87	proposes	propose	VERB
ajase-5938	1	88	a	a	DET
ajase-5938	1	89	novel	novel	ADJ
ajase-5938	1	90	two	two	NUM
ajase-5938	1	91	-	-	PUNCT
ajase-5938	1	92	step	step	NOUN
ajase-5938	1	93	sparse	sparse	ADJ
ajase-5938	1	94	learning	learn	VERB
ajase-5938	1	95	framework	framework	NOUN
ajase-5938	1	96	that	that	PRON
ajase-5938	1	97	combines	combine	VERB
ajase-5938	1	98	sparse	sparse	ADJ
ajase-5938	1	99	principal	principal	ADJ
ajase-5938	1	100	component	component	NOUN
ajase-5938	1	101	regression	regression	NOUN
ajase-5938	1	102	(	(	PUNCT
ajase-5938	1	103	spcr	spcr	ADJ
ajase-5938	1	104	)	)	PUNCT
ajase-5938	1	105	with	with	ADP
ajase-5938	1	106	regularization	regularization	NOUN
ajase-5938	1	107	methods	method	NOUN
ajase-5938	1	108	,	,	PUNCT
ajase-5938	1	109	lasso	lasso	NOUN
ajase-5938	1	110	,	,	PUNCT
ajase-5938	1	111	elastic	elastic	ADJ
ajase-5938	1	112	net	net	NOUN
ajase-5938	1	113	,	,	PUNCT
ajase-5938	1	114	ridge	ridge	NOUN
ajase-5938	1	115	,	,	PUNCT
ajase-5938	1	116	and	and	CCONJ
ajase-5938	1	117	smoothly	smoothly	ADV
ajase-5938	1	118	clipped	clip	VERB
ajase-5938	1	119	absolute	absolute	ADJ
ajase-5938	1	120	deviation	deviation	NOUN
ajase-5938	1	121	(	(	PUNCT
ajase-5938	1	122	scad	scad	NOUN
ajase-5938	1	123	)	)	PUNCT
ajase-5938	1	124	,	,	PUNCT
ajase-5938	1	125	to	to	PART
ajase-5938	1	126	improve	improve	VERB
ajase-5938	1	127	prediction	prediction	NOUN
ajase-5938	1	128	and	and	CCONJ
ajase-5938	1	129	interpretability	interpretability	NOUN
ajase-5938	1	130	in	in	ADP
ajase-5938	1	131	high	high	ADJ
ajase-5938	1	132	-	-	PUNCT
ajase-5938	1	133	dimensional	dimensional	ADJ
ajase-5938	1	134	settings	setting	NOUN
ajase-5938	1	135	.	.	PUNCT
ajase-5938	2	1	simulation	simulation	NOUN
ajase-5938	2	2	experiments	experiment	NOUN
ajase-5938	2	3	were	be	AUX
ajase-5938	2	4	conducted	conduct	VERB
ajase-5938	2	5	under	under	ADP
ajase-5938	2	6	varying	vary	VERB
ajase-5938	2	7	sample	sample	NOUN
ajase-5938	2	8	sizes	size	NOUN
ajase-5938	2	9	,	,	PUNCT
ajase-5938	2	10	dimensionality	dimensionality	NOUN
ajase-5938	2	11	levels	level	NOUN
ajase-5938	2	12	,	,	PUNCT
ajase-5938	2	13	sparsity	sparsity	NOUN
ajase-5938	2	14	conditions	condition	NOUN
ajase-5938	2	15	,	,	PUNCT
ajase-5938	2	16	and	and	CCONJ
ajase-5938	2	17	predictor	predictor	NOUN
ajase-5938	2	18	correlations	correlation	NOUN
ajase-5938	2	19	to	to	PART
ajase-5938	2	20	evaluate	evaluate	VERB
ajase-5938	2	21	the	the	DET
ajase-5938	2	22	performance	performance	NOUN
ajase-5938	2	23	of	of	ADP
ajase-5938	2	24	the	the	DET
ajase-5938	2	25	hybrid	hybrid	ADJ
ajase-5938	2	26	estimators	estimator	NOUN
ajase-5938	2	27	in	in	ADP
ajase-5938	2	28	comparison	comparison	NOUN
ajase-5938	2	29	to	to	ADP
ajase-5938	2	30	traditional	traditional	ADJ
ajase-5938	2	31	penalization	penalization	NOUN
ajase-5938	2	32	approaches	approach	NOUN
ajase-5938	2	33	.	.	PUNCT
ajase-5938	3	1	results	result	NOUN
ajase-5938	3	2	show	show	VERB
ajase-5938	3	3	that	that	SCONJ
ajase-5938	3	4	spcr	spcr	ADJ
ajase-5938	3	5	-	-	PUNCT
ajase-5938	3	6	lasso	lasso	ADJ
ajase-5938	3	7	and	and	CCONJ
ajase-5938	3	8	spcr	spcr	ADJ
ajase-5938	3	9	-	-	PUNCT
ajase-5938	3	10	enet	enet	NOUN
ajase-5938	3	11	consistently	consistently	ADV
ajase-5938	3	12	deliver	deliver	VERB
ajase-5938	3	13	superior	superior	ADJ
ajase-5938	3	14	accuracy	accuracy	NOUN
ajase-5938	3	15	and	and	CCONJ
ajase-5938	3	16	stability	stability	NOUN
ajase-5938	3	17	in	in	ADP
ajase-5938	3	18	high	high	ADV
ajase-5938	3	19	-	-	PUNCT
ajase-5938	3	20	dimensional	dimensional	ADJ
ajase-5938	3	21	,	,	PUNCT
ajase-5938	3	22	multicollinear	multicollinear	ADJ
ajase-5938	3	23	contexts	contexts	NOUN
ajase-5938	3	24	,	,	PUNCT
ajase-5938	3	25	with	with	ADP
ajase-5938	3	26	spcrenet	spcrenet	NOUN
ajase-5938	3	27	performing	perform	VERB
ajase-5938	3	28	particularly	particularly	ADV
ajase-5938	3	29	well	well	ADV
ajase-5938	3	30	in	in	ADP
ajase-5938	3	31	extreme	extreme	ADJ
ajase-5938	3	32	dimensionality	dimensionality	NOUN
ajase-5938	3	33	.	.	PUNCT
ajase-5938	4	1	spcr	spcr	ADJ
ajase-5938	4	2	-	-	PUNCT
ajase-5938	4	3	scad	scad	NOUN
ajase-5938	4	4	demonstrated	demonstrate	VERB
ajase-5938	4	5	advantages	advantage	NOUN
ajase-5938	4	6	in	in	ADP
ajase-5938	4	7	sparse	sparse	ADJ
ajase-5938	4	8	,	,	PUNCT
ajase-5938	4	9	low	low	ADJ
ajase-5938	4	10	-	-	PUNCT
ajase-5938	4	11	correlation	correlation	NOUN
ajase-5938	4	12	scenarios	scenario	NOUN
ajase-5938	4	13	,	,	PUNCT
ajase-5938	4	14	while	while	SCONJ
ajase-5938	4	15	ridge	ridge	NOUN
ajase-5938	4	16	regression	regression	PROPN
ajase-5938	4	17	contributed	contribute	VERB
ajase-5938	4	18	modest	modest	ADJ
ajase-5938	4	19	improvements	improvement	NOUN
ajase-5938	4	20	.	.	PUNCT
ajase-5938	5	1	these	these	DET
ajase-5938	5	2	findings	finding	NOUN
ajase-5938	5	3	underscore	underscore	VERB
ajase-5938	5	4	that	that	DET
ajase-5938	5	5	estimator	estimator	NOUN
ajase-5938	5	6	performance	performance	NOUN
ajase-5938	5	7	is	be	AUX
ajase-5938	5	8	strongly	strongly	ADV
ajase-5938	5	9	datadependent	datadependent	NOUN
ajase-5938	5	10	and	and	CCONJ
ajase-5938	5	11	highlight	highlight	VERB
ajase-5938	5	12	the	the	DET
ajase-5938	5	13	value	value	NOUN
ajase-5938	5	14	of	of	ADP
ajase-5938	5	15	spcr	spcr	ADJ
ajase-5938	5	16	hybridization	hybridization	NOUN
ajase-5938	5	17	for	for	ADP
ajase-5938	5	18	mitigating	mitigate	VERB
ajase-5938	5	19	multicollinearity	multicollinearity	NOUN
ajase-5938	5	20	while	while	SCONJ
ajase-5938	5	21	enhancing	enhance	VERB
ajase-5938	5	22	interpretability	interpretability	NOUN
ajase-5938	5	23	.	.	PUNCT
ajase-5938	6	1	the	the	DET
ajase-5938	6	2	study	study	NOUN
ajase-5938	6	3	offers	offer	VERB
ajase-5938	6	4	practical	practical	ADJ
ajase-5938	6	5	guidance	guidance	NOUN
ajase-5938	6	6	for	for	ADP
ajase-5938	6	7	applied	applied	ADJ
ajase-5938	6	8	researchers	researcher	NOUN
ajase-5938	6	9	in	in	ADP
ajase-5938	6	10	fields	field	NOUN
ajase-5938	6	11	such	such	ADJ
ajase-5938	6	12	as	as	ADP
ajase-5938	6	13	genomics	genomics	NOUN
ajase-5938	6	14	,	,	PUNCT
ajase-5938	6	15	finance	finance	NOUN
ajase-5938	6	16	,	,	PUNCT
ajase-5938	6	17	and	and	CCONJ
ajase-5938	6	18	climate	climate	NOUN
ajase-5938	6	19	science	science	NOUN
ajase-5938	6	20	,	,	PUNCT
ajase-5938	6	21	and	and	CCONJ
ajase-5938	6	22	contributes	contribute	VERB
ajase-5938	6	23	methodologically	methodologically	ADV
ajase-5938	6	24	by	by	ADP
ajase-5938	6	25	demonstrating	demonstrate	VERB
ajase-5938	6	26	the	the	DET
ajase-5938	6	27	robustness	robustness	NOUN
ajase-5938	6	28	of	of	ADP
ajase-5938	6	29	spcr	spcr	ADJ
ajase-5938	6	30	-	-	PUNCT
ajase-5938	6	31	based	base	VERB
ajase-5938	6	32	regularization	regularization	NOUN
ajase-5938	6	33	in	in	ADP
ajase-5938	6	34	handling	handle	VERB
ajase-5938	6	35	complex	complex	ADJ
ajase-5938	6	36	highdimensional	highdimensional	ADJ
ajase-5938	6	37	data	datum	NOUN
ajase-5938	6	38	structures	structure	NOUN
ajase-5938	6	39	.	.	PUNCT
ajase-5938	7	1	keywords	keyword	VERB
ajase-5938	7	2	elastic	elastic	ADJ
ajase-5938	7	3	net	net	NOUN
ajase-5938	7	4	,	,	PUNCT
ajase-5938	7	5	high	high	ADJ
ajase-5938	7	6	-	-	PUNCT
ajase-5938	7	7	dimensional	dimensional	ADJ
ajase-5938	7	8	data	datum	NOUN
ajase-5938	7	9	,	,	PUNCT
ajase-5938	7	10	lasso	lasso	NOUN
ajase-5938	7	11	,	,	PUNCT
ajase-5938	7	12	multicollinearity	multicollinearity	NOUN
ajase-5938	7	13	,	,	PUNCT
ajase-5938	7	14	regularization	regularization	NOUN
ajase-5938	7	15	,	,	PUNCT
ajase-5938	7	16	scad	scad	NOUN
ajase-5938	7	17	,	,	PUNCT
ajase-5938	7	18	spcr	spcr	ADJ
ajase-5938	7	19	1	1	NUM
ajase-5938	7	20	department	department	NOUN
ajase-5938	7	21	of	of	ADP
ajase-5938	7	22	statistics	statistic	NOUN
ajase-5938	7	23	,	,	PUNCT
ajase-5938	7	24	faculty	faculty	NOUN
ajase-5938	7	25	of	of	ADP
ajase-5938	7	26	science	science	NOUN
ajase-5938	7	27	,	,	PUNCT
ajase-5938	7	28	university	university	NOUN
ajase-5938	7	29	of	of	ADP
ajase-5938	7	30	abuja	abuja	PROPN
ajase-5938	7	31	,	,	PUNCT
ajase-5938	7	32	abuja	abuja	PROPN
ajase-5938	7	33	,	,	PUNCT
ajase-5938	7	34	nigeria	nigeria	PROPN
ajase-5938	7	35	*	*	PUNCT
ajase-5938	7	36	corresponding	correspond	VERB
ajase-5938	7	37	author	author	NOUN
ajase-5938	7	38	’s	’s	PART
ajase-5938	7	39	e	e	NOUN
ajase-5938	7	40	-	-	NOUN
ajase-5938	7	41	mail	mail	NOUN
ajase-5938	7	42	:	:	PUNCT
ajase-5938	7	43	onifade.oluwafemi@yahoo.com	onifade.oluwafemi@yahoo.com	X
ajase-5938	7	44	introduction	introduction	NOUN
ajase-5938	7	45	high	high	ADV
ajase-5938	7	46	-	-	PUNCT
ajase-5938	7	47	dimensional	dimensional	ADJ
ajase-5938	7	48	modelling	modelling	NOUN
ajase-5938	7	49	has	have	AUX
ajase-5938	7	50	emerged	emerge	VERB
ajase-5938	7	51	as	as	ADP
ajase-5938	7	52	a	a	DET
ajase-5938	7	53	critical	critical	ADJ
ajase-5938	7	54	and	and	CCONJ
ajase-5938	7	55	transformative	transformative	ADJ
ajase-5938	7	56	area	area	NOUN
ajase-5938	7	57	of	of	ADP
ajase-5938	7	58	research	research	NOUN
ajase-5938	7	59	with	with	ADP
ajase-5938	7	60	profound	profound	ADJ
ajase-5938	7	61	implications	implication	NOUN
ajase-5938	7	62	across	across	ADP
ajase-5938	7	63	diverse	diverse	ADJ
ajase-5938	7	64	domains	domain	NOUN
ajase-5938	7	65	,	,	PUNCT
ajase-5938	7	66	including	include	VERB
ajase-5938	7	67	data	data	NOUN
ajase-5938	7	68	science	science	NOUN
ajase-5938	7	69	,	,	PUNCT
ajase-5938	7	70	machine	machine	NOUN
ajase-5938	7	71	learning	learning	NOUN
ajase-5938	7	72	,	,	PUNCT
ajase-5938	7	73	and	and	CCONJ
ajase-5938	7	74	statistics	statistic	NOUN
ajase-5938	7	75	.	.	PUNCT
ajase-5938	8	1	the	the	DET
ajase-5938	8	2	prominence	prominence	NOUN
ajase-5938	8	3	of	of	ADP
ajase-5938	8	4	high	high	ADJ
ajase-5938	8	5	-	-	PUNCT
ajase-5938	8	6	dimensional	dimensional	ADJ
ajase-5938	8	7	data	datum	NOUN
ajase-5938	8	8	can	can	AUX
ajase-5938	8	9	be	be	AUX
ajase-5938	8	10	attributed	attribute	VERB
ajase-5938	8	11	to	to	ADP
ajase-5938	8	12	the	the	DET
ajase-5938	8	13	prevalence	prevalence	NOUN
ajase-5938	8	14	of	of	ADP
ajase-5938	8	15	large	large	ADJ
ajase-5938	8	16	-	-	PUNCT
ajase-5938	8	17	scale	scale	NOUN
ajase-5938	8	18	datasets	dataset	NOUN
ajase-5938	8	19	and	and	CCONJ
ajase-5938	8	20	complex	complex	ADJ
ajase-5938	8	21	systems	system	NOUN
ajase-5938	8	22	in	in	ADP
ajase-5938	8	23	various	various	ADJ
ajase-5938	8	24	applications	application	NOUN
ajase-5938	8	25	.	.	PUNCT
ajase-5938	9	1	in	in	ADP
ajase-5938	9	2	high	high	ADJ
ajase-5938	9	3	-	-	PUNCT
ajase-5938	9	4	dimensional	dimensional	ADJ
ajase-5938	9	5	modelling	modelling	NOUN
ajase-5938	9	6	,	,	PUNCT
ajase-5938	9	7	the	the	DET
ajase-5938	9	8	term	term	NOUN
ajase-5938	9	9	“	"	PUNCT
ajase-5938	9	10	high	high	ADJ
ajase-5938	9	11	dimensional	dimensional	ADJ
ajase-5938	9	12	”	"	PUNCT
ajase-5938	9	13	refers	refer	NOUN
ajase-5938	9	14	to	to	ADP
ajase-5938	9	15	situations	situation	NOUN
ajase-5938	9	16	where	where	SCONJ
ajase-5938	9	17	the	the	DET
ajase-5938	9	18	number	number	NOUN
ajase-5938	9	19	of	of	ADP
ajase-5938	9	20	explanatory	explanatory	ADJ
ajase-5938	9	21	variables	variable	NOUN
ajase-5938	9	22	,	,	PUNCT
ajase-5938	9	23	denoted	denote	VERB
ajase-5938	9	24	as	as	ADP
ajase-5938	9	25	p	p	NOUN
ajase-5938	9	26	,	,	PUNCT
ajase-5938	9	27	exceeds	exceed	VERB
ajase-5938	9	28	the	the	DET
ajase-5938	9	29	number	number	NOUN
ajase-5938	9	30	of	of	ADP
ajase-5938	9	31	observations	observation	NOUN
ajase-5938	9	32	,	,	PUNCT
ajase-5938	9	33	n	n	CCONJ
ajase-5938	9	34	(	(	PUNCT
ajase-5938	9	35	i.e.	i.e.	X
ajase-5938	9	36	,	,	PUNCT
ajase-5938	9	37	p	p	NOUN
ajase-5938	9	38	>	>	X
ajase-5938	9	39	n	n	CCONJ
ajase-5938	9	40	)	)	PUNCT
ajase-5938	9	41	.	.	PUNCT
ajase-5938	10	1	this	this	DET
ajase-5938	10	2	phenomenon	phenomenon	NOUN
ajase-5938	10	3	has	have	AUX
ajase-5938	10	4	gained	gain	VERB
ajase-5938	10	5	attraction	attraction	NOUN
ajase-5938	10	6	due	due	ADP
ajase-5938	10	7	to	to	ADP
ajase-5938	10	8	the	the	DET
ajase-5938	10	9	rapid	rapid	ADJ
ajase-5938	10	10	advancements	advancement	NOUN
ajase-5938	10	11	in	in	ADP
ajase-5938	10	12	technology	technology	NOUN
ajase-5938	10	13	,	,	PUNCT
ajase-5938	10	14	which	which	PRON
ajase-5938	10	15	enable	enable	VERB
ajase-5938	10	16	the	the	DET
ajase-5938	10	17	collection	collection	NOUN
ajase-5938	10	18	of	of	ADP
ajase-5938	10	19	a	a	DET
ajase-5938	10	20	vast	vast	ADJ
ajase-5938	10	21	number	number	NOUN
ajase-5938	10	22	of	of	ADP
ajase-5938	10	23	variables	variable	NOUN
ajase-5938	10	24	to	to	PART
ajase-5938	10	25	better	well	ADV
ajase-5938	10	26	understand	understand	VERB
ajase-5938	10	27	complex	complex	ADJ
ajase-5938	10	28	phenomena	phenomenon	NOUN
ajase-5938	10	29	of	of	ADP
ajase-5938	10	30	interest	interest	NOUN
ajase-5938	10	31	.	.	PUNCT
ajase-5938	11	1	the	the	DET
ajase-5938	11	2	applicability	applicability	NOUN
ajase-5938	11	3	of	of	ADP
ajase-5938	11	4	high	high	ADJ
ajase-5938	11	5	-	-	PUNCT
ajase-5938	11	6	dimensional	dimensional	ADJ
ajase-5938	11	7	modelling	modelling	NOUN
ajase-5938	11	8	spans	span	NOUN
ajase-5938	11	9	multiple	multiple	ADJ
ajase-5938	11	10	fields	field	NOUN
ajase-5938	11	11	,	,	PUNCT
ajase-5938	11	12	including	include	VERB
ajase-5938	11	13	computational	computational	ADJ
ajase-5938	11	14	chemistry	chemistry	NOUN
ajase-5938	11	15	,	,	PUNCT
ajase-5938	11	16	chemometrics	chemometric	NOUN
ajase-5938	11	17	with	with	ADP
ajase-5938	11	18	spectral	spectral	ADJ
ajase-5938	11	19	data	datum	NOUN
ajase-5938	11	20	,	,	PUNCT
ajase-5938	11	21	genomics	genomic	NOUN
ajase-5938	11	22	,	,	PUNCT
ajase-5938	11	23	fmri	fmri	ADJ
ajase-5938	11	24	data	datum	NOUN
ajase-5938	11	25	analysis	analysis	NOUN
ajase-5938	11	26	,	,	PUNCT
ajase-5938	11	27	large	large	ADJ
ajase-5938	11	28	-	-	PUNCT
ajase-5938	11	29	scale	scale	NOUN
ajase-5938	11	30	healthcare	healthcare	NOUN
ajase-5938	11	31	analytics	analytic	NOUN
ajase-5938	11	32	,	,	PUNCT
ajase-5938	11	33	text	text	NOUN
ajase-5938	11	34	/	/	SYM
ajase-5938	11	35	image	image	NOUN
ajase-5938	11	36	analysis	analysis	NOUN
ajase-5938	11	37	,	,	PUNCT
ajase-5938	11	38	astronomy	astronomy	NOUN
ajase-5938	11	39	,	,	PUNCT
ajase-5938	11	40	and	and	CCONJ
ajase-5938	11	41	many	many	ADJ
ajase-5938	11	42	others	other	NOUN
ajase-5938	11	43	.	.	PUNCT
ajase-5938	12	1	the	the	DET
ajase-5938	12	2	versatility	versatility	NOUN
ajase-5938	12	3	of	of	ADP
ajase-5938	12	4	high	high	ADJ
ajase-5938	12	5	-	-	PUNCT
ajase-5938	12	6	dimensional	dimensional	ADJ
ajase-5938	12	7	modelling	modelling	NOUN
ajase-5938	12	8	techniques	technique	NOUN
ajase-5938	12	9	has	have	AUX
ajase-5938	12	10	also	also	ADV
ajase-5938	12	11	been	be	AUX
ajase-5938	12	12	demonstrated	demonstrate	VERB
ajase-5938	12	13	in	in	ADP
ajase-5938	12	14	the	the	DET
ajase-5938	12	15	field	field	NOUN
ajase-5938	12	16	of	of	ADP
ajase-5938	12	17	drug	drug	NOUN
ajase-5938	12	18	discovery	discovery	NOUN
ajase-5938	12	19	and	and	CCONJ
ajase-5938	12	20	development	development	NOUN
ajase-5938	12	21	.	.	PUNCT
ajase-5938	13	1	for	for	ADP
ajase-5938	13	2	example	example	NOUN
ajase-5938	13	3	,	,	PUNCT
ajase-5938	13	4	priya	priya	PROPN
ajase-5938	13	5	et	et	PROPN
ajase-5938	13	6	al	al	PROPN
ajase-5938	13	7	.	.	PROPN
ajase-5938	14	1	(	(	PUNCT
ajase-5938	14	2	2022	2022	NUM
ajase-5938	14	3	)	)	PUNCT
ajase-5938	14	4	focus	focus	NOUN
ajase-5938	14	5	on	on	ADP
ajase-5938	14	6	the	the	DET
ajase-5938	14	7	application	application	NOUN
ajase-5938	14	8	of	of	ADP
ajase-5938	14	9	machine	machine	NOUN
ajase-5938	14	10	-	-	PUNCT
ajase-5938	14	11	learning	learn	VERB
ajase-5938	14	12	approaches	approach	NOUN
ajase-5938	14	13	in	in	ADP
ajase-5938	14	14	chemo	chemo	NOUN
ajase-5938	14	15	-	-	PUNCT
ajase-5938	14	16	informatics	informatic	NOUN
ajase-5938	14	17	for	for	ADP
ajase-5938	14	18	drug	drug	NOUN
ajase-5938	14	19	discovery	discovery	NOUN
ajase-5938	14	20	.	.	PUNCT
ajase-5938	15	1	machine	machine	NOUN
ajase-5938	15	2	learning	learn	VERB
ajase-5938	15	3	techniques	technique	NOUN
ajase-5938	15	4	,	,	PUNCT
ajase-5938	15	5	specifically	specifically	ADV
ajase-5938	15	6	qsar	qsar	PROPN
ajase-5938	15	7	(	(	PUNCT
ajase-5938	15	8	quantitative	quantitative	ADJ
ajase-5938	15	9	structureactivity	structureactivity	NOUN
ajase-5938	15	10	relationship	relationship	NOUN
ajase-5938	15	11	)	)	PUNCT
ajase-5938	15	12	,	,	PUNCT
ajase-5938	15	13	have	have	AUX
ajase-5938	15	14	effectively	effectively	ADV
ajase-5938	15	15	modelled	model	VERB
ajase-5938	15	16	various	various	ADJ
ajase-5938	15	17	physicochemical	physicochemical	ADJ
ajase-5938	15	18	properties	property	NOUN
ajase-5938	15	19	of	of	ADP
ajase-5938	15	20	drugs	drug	NOUN
ajase-5938	15	21	,	,	PUNCT
ajase-5938	15	22	including	include	VERB
ajase-5938	15	23	toxicity	toxicity	NOUN
ajase-5938	15	24	,	,	PUNCT
ajase-5938	15	25	absorption	absorption	NOUN
ajase-5938	15	26	,	,	PUNCT
ajase-5938	15	27	and	and	CCONJ
ajase-5938	15	28	drug	drug	NOUN
ajase-5938	15	29	-	-	PUNCT
ajase-5938	15	30	drug	drug	NOUN
ajase-5938	15	31	interactions	interaction	NOUN
ajase-5938	15	32	.	.	PUNCT
ajase-5938	16	1	these	these	DET
ajase-5938	16	2	approaches	approach	NOUN
ajase-5938	16	3	,	,	PUNCT
ajase-5938	16	4	being	be	AUX
ajase-5938	16	5	a	a	DET
ajase-5938	16	6	subset	subset	NOUN
ajase-5938	16	7	of	of	ADP
ajase-5938	16	8	artificial	artificial	ADJ
ajase-5938	16	9	intelligence	intelligence	NOUN
ajase-5938	16	10	,	,	PUNCT
ajase-5938	16	11	show	show	VERB
ajase-5938	16	12	great	great	ADJ
ajase-5938	16	13	potential	potential	NOUN
ajase-5938	16	14	in	in	ADP
ajase-5938	16	15	drug	drug	NOUN
ajase-5938	16	16	discovery	discovery	NOUN
ajase-5938	16	17	by	by	ADP
ajase-5938	16	18	handling	handle	VERB
ajase-5938	16	19	nonlinear	nonlinear	ADJ
ajase-5938	16	20	datasets	dataset	NOUN
ajase-5938	16	21	and	and	CCONJ
ajase-5938	16	22	big	big	ADJ
ajase-5938	16	23	data	datum	NOUN
ajase-5938	16	24	with	with	ADP
ajase-5938	16	25	increasing	increase	VERB
ajase-5938	16	26	complexity	complexity	NOUN
ajase-5938	16	27	.	.	PUNCT
ajase-5938	17	1	however	however	ADV
ajase-5938	17	2	,	,	PUNCT
ajase-5938	17	3	the	the	DET
ajase-5938	17	4	curse	curse	NOUN
ajase-5938	17	5	of	of	ADP
ajase-5938	17	6	dimensionality	dimensionality	NOUN
ajase-5938	17	7	,	,	PUNCT
ajase-5938	17	8	a	a	DET
ajase-5938	17	9	well	well	ADV
ajase-5938	17	10	-	-	PUNCT
ajase-5938	17	11	known	know	VERB
ajase-5938	17	12	challenge	challenge	NOUN
ajase-5938	17	13	in	in	ADP
ajase-5938	17	14	high	high	ADJ
ajase-5938	17	15	-	-	PUNCT
ajase-5938	17	16	dimensional	dimensional	ADJ
ajase-5938	17	17	data	datum	NOUN
ajase-5938	17	18	,	,	PUNCT
ajase-5938	17	19	poses	pose	VERB
ajase-5938	17	20	significant	significant	ADJ
ajase-5938	17	21	obstacles	obstacle	NOUN
ajase-5938	17	22	to	to	ADP
ajase-5938	17	23	accurate	accurate	ADJ
ajase-5938	17	24	predictions	prediction	NOUN
ajase-5938	17	25	and	and	CCONJ
ajase-5938	17	26	efficient	efficient	ADJ
ajase-5938	17	27	parameter	parameter	NOUN
ajase-5938	17	28	estimation	estimation	NOUN
ajase-5938	17	29	.	.	PUNCT
ajase-5938	18	1	the	the	DET
ajase-5938	18	2	exponential	exponential	ADJ
ajase-5938	18	3	growth	growth	NOUN
ajase-5938	18	4	of	of	ADP
ajase-5938	18	5	data	datum	NOUN
ajase-5938	18	6	volume	volume	NOUN
ajase-5938	18	7	with	with	ADP
ajase-5938	18	8	increasing	increase	VERB
ajase-5938	18	9	variables	variable	NOUN
ajase-5938	18	10	leads	lead	VERB
ajase-5938	18	11	to	to	PART
ajase-5938	18	12	sparse	sparse	VERB
ajase-5938	18	13	data	datum	NOUN
ajase-5938	18	14	points	point	NOUN
ajase-5938	18	15	,	,	PUNCT
ajase-5938	18	16	which	which	PRON
ajase-5938	18	17	can	can	AUX
ajase-5938	18	18	hinder	hinder	VERB
ajase-5938	18	19	the	the	DET
ajase-5938	18	20	effectiveness	effectiveness	NOUN
ajase-5938	18	21	of	of	ADP
ajase-5938	18	22	traditional	traditional	ADJ
ajase-5938	18	23	methods	method	NOUN
ajase-5938	18	24	.	.	PUNCT
ajase-5938	19	1	multicollinearity	multicollinearity	NOUN
ajase-5938	19	2	,	,	PUNCT
ajase-5938	19	3	a	a	DET
ajase-5938	19	4	common	common	ADJ
ajase-5938	19	5	issue	issue	NOUN
ajase-5938	19	6	in	in	ADP
ajase-5938	19	7	high	high	ADJ
ajase-5938	19	8	-	-	PUNCT
ajase-5938	19	9	dimensional	dimensional	ADJ
ajase-5938	19	10	datasets	dataset	NOUN
ajase-5938	19	11	,	,	PUNCT
ajase-5938	19	12	further	far	ADV
ajase-5938	19	13	complicates	complicate	VERB
ajase-5938	19	14	parameter	parameter	NOUN
ajase-5938	19	15	estimation	estimation	NOUN
ajase-5938	19	16	and	and	CCONJ
ajase-5938	19	17	can	can	AUX
ajase-5938	19	18	result	result	VERB
ajase-5938	19	19	in	in	ADP
ajase-5938	19	20	inflated	inflated	ADJ
ajase-5938	19	21	confidence	confidence	NOUN
ajase-5938	19	22	intervals	interval	NOUN
ajase-5938	19	23	.	.	PUNCT
ajase-5938	20	1	to	to	PART
ajase-5938	20	2	address	address	VERB
ajase-5938	20	3	these	these	DET
ajase-5938	20	4	challenges	challenge	NOUN
ajase-5938	20	5	,	,	PUNCT
ajase-5938	20	6	sophisticated	sophisticated	ADJ
ajase-5938	20	7	techniques	technique	NOUN
ajase-5938	20	8	are	be	AUX
ajase-5938	20	9	required	require	VERB
ajase-5938	20	10	that	that	PRON
ajase-5938	20	11	can	can	AUX
ajase-5938	20	12	effectively	effectively	ADV
ajase-5938	20	13	handle	handle	VERB
ajase-5938	20	14	the	the	DET
ajase-5938	20	15	complexities	complexity	NOUN
ajase-5938	20	16	posed	pose	VERB
ajase-5938	20	17	by	by	ADP
ajase-5938	20	18	high	high	ADJ
ajase-5938	20	19	-	-	PUNCT
ajase-5938	20	20	dimensional	dimensional	ADJ
ajase-5938	20	21	data	datum	NOUN
ajase-5938	20	22	.	.	PUNCT
ajase-5938	21	1	dimensionality	dimensionality	NOUN
ajase-5938	21	2	reduction	reduction	NOUN
ajase-5938	21	3	and	and	CCONJ
ajase-5938	21	4	variable	variable	ADJ
ajase-5938	21	5	selection	selection	NOUN
ajase-5938	21	6	methods	method	NOUN
ajase-5938	21	7	have	have	AUX
ajase-5938	21	8	emerged	emerge	VERB
ajase-5938	21	9	as	as	ADP
ajase-5938	21	10	attractive	attractive	ADJ
ajase-5938	21	11	strategies	strategy	NOUN
ajase-5938	21	12	to	to	PART
ajase-5938	21	13	tackle	tackle	VERB
ajase-5938	21	14	high	high	ADV
ajase-5938	21	15	-	-	PUNCT
ajase-5938	21	16	dimensional	dimensional	ADJ
ajase-5938	21	17	studies	study	NOUN
ajase-5938	21	18	.	.	PUNCT
ajase-5938	22	1	over	over	ADP
ajase-5938	22	2	the	the	DET
ajase-5938	22	3	last	last	ADJ
ajase-5938	22	4	two	two	NUM
ajase-5938	22	5	decades	decade	NOUN
ajase-5938	22	6	,	,	PUNCT
ajase-5938	22	7	regularization	regularization	NOUN
ajase-5938	22	8	approaches	approach	VERB
ajase-5938	22	9	such	such	ADJ
ajase-5938	22	10	as	as	ADP
ajase-5938	22	11	lasso	lasso	NOUN
ajase-5938	22	12	,	,	PUNCT
ajase-5938	22	13	elastic	elastic	ADJ
ajase-5938	22	14	net	net	NOUN
ajase-5938	22	15	,	,	PUNCT
ajase-5938	22	16	ridge	ridge	NOUN
ajase-5938	22	17	regression	regression	NOUN
ajase-5938	22	18	,	,	PUNCT
ajase-5938	22	19	and	and	CCONJ
ajase-5938	22	20	smoothly	smoothly	ADV
ajase-5938	22	21	clipped	clip	VERB
ajase-5938	22	22	absolute	absolute	ADJ
ajase-5938	22	23	deviation	deviation	NOUN
ajase-5938	22	24	(	(	PUNCT
ajase-5938	22	25	scad	scad	NOUN
ajase-5938	22	26	)	)	PUNCT
ajase-5938	22	27	have	have	AUX
ajase-5938	22	28	become	become	VERB
ajase-5938	22	29	the	the	DET
ajase-5938	22	30	methods	method	NOUN
ajase-5938	22	31	of	of	ADP
ajase-5938	22	32	choice	choice	NOUN
ajase-5938	22	33	for	for	ADP
ajase-5938	22	34	analyzing	analyze	VERB
ajase-5938	22	35	high	high	ADJ
ajase-5938	22	36	-	-	PUNCT
ajase-5938	22	37	dimensional	dimensional	ADJ
ajase-5938	22	38	data	datum	NOUN
ajase-5938	22	39	.	.	PUNCT
ajase-5938	23	1	these	these	DET
ajase-5938	23	2	regularization	regularization	NOUN
ajase-5938	23	3	methods	method	NOUN
ajase-5938	23	4	have	have	AUX
ajase-5938	23	5	been	be	AUX
ajase-5938	23	6	extensively	extensively	ADV
ajase-5938	23	7	applied	apply	VERB
ajase-5938	23	8	in	in	ADP
ajase-5938	23	9	various	various	ADJ
ajase-5938	23	10	disciplines	discipline	NOUN
ajase-5938	23	11	,	,	PUNCT
ajase-5938	23	12	including	include	VERB
ajase-5938	23	13	statistics	statistic	NOUN
ajase-5938	23	14	(	(	PUNCT
ajase-5938	23	15	nwosu	nwosu	NOUN
ajase-5938	23	16	et	et	PROPN
ajase-5938	23	17	al	al	PROPN
ajase-5938	23	18	.	.	PROPN
ajase-5938	23	19	2024	2024	NUM
ajase-5938	23	20	)	)	PUNCT
ajase-5938	23	21	,	,	PUNCT
ajase-5938	23	22	chemo	chemo	NOUN
ajase-5938	23	23	-	-	PUNCT
ajase-5938	23	24	informatics	informatic	NOUN
ajase-5938	23	25	(	(	PUNCT
ajase-5938	23	26	song	song	NOUN
ajase-5938	23	27	et	et	PROPN
ajase-5938	23	28	al	al	PROPN
ajase-5938	23	29	.	.	PROPN
ajase-5938	23	30	,	,	PUNCT
ajase-5938	23	31	2024	2024	NUM
ajase-5938	23	32	)	)	PUNCT
ajase-5938	23	33	,	,	PUNCT
ajase-5938	23	34	epidemiology	epidemiology	NOUN
ajase-5938	23	35	(	(	PUNCT
ajase-5938	23	36	cleophas	cleophas	PROPN
ajase-5938	23	37	et	et	PROPN
ajase-5938	23	38	al	al	PROPN
ajase-5938	23	39	.	.	PROPN
ajase-5938	23	40	2024	2024	NUM
ajase-5938	23	41	)	)	PUNCT
ajase-5938	23	42	,	,	PUNCT
ajase-5938	23	43	and	and	CCONJ
ajase-5938	23	44	bioinformatics	bioinformatic	NOUN
ajase-5938	23	45	(	(	PUNCT
ajase-5938	23	46	kitano	kitano	PROPN
ajase-5938	23	47	et	et	PROPN
ajase-5938	23	48	al	al	PROPN
ajase-5938	23	49	.	.	PROPN
ajase-5938	23	50	,	,	PUNCT
ajase-5938	23	51	2024	2024	NUM
ajase-5938	23	52	)	)	PUNCT
ajase-5938	23	53	,	,	PUNCT
ajase-5938	23	54	and	and	CCONJ
ajase-5938	23	55	many	many	ADJ
ajase-5938	23	56	others	other	NOUN
ajase-5938	23	57	.	.	PUNCT
ajase-5938	24	1	in	in	ADP
ajase-5938	24	2	recent	recent	ADJ
ajase-5938	24	3	years	year	NOUN
ajase-5938	24	4	,	,	PUNCT
ajase-5938	24	5	sparse	sparse	ADJ
ajase-5938	24	6	principal	principal	ADJ
ajase-5938	24	7	component	component	NOUN
ajase-5938	24	8	regression	regression	NOUN
ajase-5938	24	9	(	(	PUNCT
ajase-5938	24	10	spcr	spcr	ADJ
ajase-5938	24	11	)	)	PUNCT
ajase-5938	24	12	,	,	PUNCT
ajase-5938	24	13	and	and	CCONJ
ajase-5938	24	14	sparse	sparse	VERB
ajase-5938	24	15	partial	partial	ADJ
ajase-5938	24	16	least	least	ADJ
ajase-5938	24	17	squares	square	NOUN
ajase-5938	24	18	(	(	PUNCT
ajase-5938	24	19	spls	spls	PROPN
ajase-5938	24	20	)	)	PUNCT
ajase-5938	24	21	,	,	PUNCT
ajase-5938	24	22	has	have	AUX
ajase-5938	24	23	garnered	garner	VERB
ajase-5938	24	24	attention	attention	NOUN
ajase-5938	24	25	as	as	ADP
ajase-5938	24	26	a	a	DET
ajase-5938	24	27	potential	potential	ADJ
ajase-5938	24	28	solution	solution	NOUN
ajase-5938	24	29	to	to	PART
ajase-5938	24	30	improve	improve	VERB
ajase-5938	24	31	predictive	predictive	ADJ
ajase-5938	24	32	model	model	NOUN
ajase-5938	24	33	accuracy	accuracy	NOUN
ajase-5938	24	34	.	.	PUNCT
ajase-5938	25	1	by	by	ADP
ajase-5938	25	2	identifying	identify	VERB
ajase-5938	25	3	a	a	DET
ajase-5938	25	4	small	small	ADJ
ajase-5938	25	5	subset	subset	NOUN
ajase-5938	25	6	of	of	ADP
ajase-5938	25	7	the	the	DET
ajase-5938	25	8	original	original	ADJ
ajase-5938	25	9	predictor	predictor	NOUN
ajase-5938	25	10	variables	variable	NOUN
ajase-5938	25	11	that	that	PRON
ajase-5938	25	12	capture	capture	VERB
ajase-5938	25	13	most	most	ADJ
ajase-5938	25	14	of	of	ADP
ajase-5938	25	15	the	the	DET
ajase-5938	25	16	variance	variance	NOUN
ajase-5938	25	17	in	in	ADP
ajase-5938	25	18	the	the	DET
ajase-5938	25	19	data	datum	NOUN
ajase-5938	25	20	,	,	PUNCT
ajase-5938	25	21	spcr	spcr	ADV
ajase-5938	25	22	facilitates	facilitate	VERB
ajase-5938	25	23	highly	highly	ADV
ajase-5938	25	24	interpretable	interpretable	ADJ
ajase-5938	25	25	models	model	NOUN
ajase-5938	25	26	with	with	ADP
ajase-5938	25	27	enhanced	enhanced	ADJ
ajase-5938	25	28	predictive	predictive	ADJ
ajase-5938	25	29	accuracy	accuracy	NOUN
ajase-5938	25	30	.	.	PUNCT
ajase-5938	26	1	spcr	spcr	ADJ
ajase-5938	26	2	has	have	AUX
ajase-5938	26	3	demonstrated	demonstrate	VERB
ajase-5938	26	4	promising	promising	ADJ
ajase-5938	26	5	results	result	NOUN
ajase-5938	26	6	in	in	ADP
ajase-5938	26	7	various	various	ADJ
ajase-5938	26	8	fields	field	NOUN
ajase-5938	26	9	,	,	PUNCT
ajase-5938	26	10	pa	pa	PROPN
ajase-5938	26	11	ge	ge	PROPN
ajase-5938	26	12	12	12	NUM
ajase-5938	26	13	8	8	NUM
ajase-5938	26	14	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5938	26	15	am	am	NOUN
ajase-5938	26	16	.	.	PUNCT
ajase-5938	27	1	j.	j.	PROPN
ajase-5938	27	2	appl	appl	PROPN
ajase-5938	27	3	.	.	PROPN
ajase-5938	28	1	stat	stat	PROPN
ajase-5938	28	2	.	.	PUNCT
ajase-5938	29	1	econ	econ	PROPN
ajase-5938	29	2	.	.	PUNCT
ajase-5938	30	1	4(1	4(1	X
ajase-5938	30	2	)	)	PUNCT
ajase-5938	31	1	127	127	NUM
ajase-5938	31	2	-	-	SYM
ajase-5938	31	3	140	140	NUM
ajase-5938	31	4	,	,	PUNCT
ajase-5938	31	5	2025	2025	NUM
ajase-5938	31	6	including	include	VERB
ajase-5938	31	7	medical	medical	ADJ
ajase-5938	31	8	research	research	NOUN
ajase-5938	31	9	,	,	PUNCT
ajase-5938	31	10	finance	finance	NOUN
ajase-5938	31	11	,	,	PUNCT
ajase-5938	31	12	and	and	CCONJ
ajase-5938	31	13	environmental	environmental	ADJ
ajase-5938	31	14	sciences	science	NOUN
ajase-5938	31	15	.	.	PUNCT
ajase-5938	32	1	spcr	spcr	PROPN
ajase-5938	32	2	has	have	AUX
ajase-5938	32	3	also	also	ADV
ajase-5938	32	4	proven	prove	VERB
ajase-5938	32	5	successful	successful	ADJ
ajase-5938	32	6	in	in	ADP
ajase-5938	32	7	qsar	qsar	NOUN
ajase-5938	32	8	modelling	modelling	NOUN
ajase-5938	32	9	by	by	ADP
ajase-5938	32	10	identifying	identify	VERB
ajase-5938	32	11	the	the	DET
ajase-5938	32	12	most	most	ADV
ajase-5938	32	13	relevant	relevant	ADJ
ajase-5938	32	14	molecular	molecular	ADJ
ajase-5938	32	15	descriptors	descriptor	NOUN
ajase-5938	32	16	that	that	PRON
ajase-5938	32	17	greatly	greatly	ADV
ajase-5938	32	18	influence	influence	VERB
ajase-5938	32	19	biological	biological	ADJ
ajase-5938	32	20	activity	activity	NOUN
ajase-5938	32	21	or	or	CCONJ
ajase-5938	32	22	molecule	molecule	NOUN
ajase-5938	32	23	properties	property	NOUN
ajase-5938	32	24	.	.	PUNCT
ajase-5938	33	1	for	for	ADP
ajase-5938	33	2	example	example	NOUN
ajase-5938	33	3	,	,	PUNCT
ajase-5938	33	4	zhang	zhang	PROPN
ajase-5938	33	5	et	et	PROPN
ajase-5938	33	6	al	al	PROPN
ajase-5938	33	7	.	.	PROPN
ajase-5938	34	1	(	(	PUNCT
ajase-5938	34	2	2024	2024	NUM
ajase-5938	34	3	)	)	PUNCT
ajase-5938	34	4	demonstrated	demonstrate	VERB
ajase-5938	34	5	the	the	DET
ajase-5938	34	6	effectiveness	effectiveness	NOUN
ajase-5938	34	7	of	of	ADP
ajase-5938	34	8	spcr	spcr	ADJ
ajase-5938	34	9	in	in	ADP
ajase-5938	34	10	identifying	identify	VERB
ajase-5938	34	11	the	the	DET
ajase-5938	34	12	most	most	ADV
ajase-5938	34	13	important	important	ADJ
ajase-5938	34	14	features	feature	NOUN
ajase-5938	34	15	for	for	ADP
ajase-5938	34	16	predicting	predict	VERB
ajase-5938	34	17	the	the	DET
ajase-5938	34	18	antitumor	antitumor	PROPN
ajase-5938	34	19	activity	activity	NOUN
ajase-5938	34	20	of	of	ADP
ajase-5938	34	21	molecules	molecule	NOUN
ajase-5938	34	22	,	,	PUNCT
ajase-5938	34	23	leading	lead	VERB
ajase-5938	34	24	to	to	ADP
ajase-5938	34	25	more	more	ADV
ajase-5938	34	26	reliable	reliable	ADJ
ajase-5938	34	27	qsar	qsar	NOUN
ajase-5938	34	28	models	model	NOUN
ajase-5938	34	29	.	.	PUNCT
ajase-5938	35	1	while	while	SCONJ
ajase-5938	35	2	previous	previous	ADJ
ajase-5938	35	3	studies	study	NOUN
ajase-5938	35	4	have	have	AUX
ajase-5938	35	5	predominantly	predominantly	ADV
ajase-5938	35	6	focused	focus	VERB
ajase-5938	35	7	on	on	ADP
ajase-5938	35	8	combining	combine	VERB
ajase-5938	35	9	principal	principal	ADJ
ajase-5938	35	10	component	component	NOUN
ajase-5938	35	11	regression	regression	NOUN
ajase-5938	35	12	(	(	PUNCT
ajase-5938	35	13	pcr	pcr	NOUN
ajase-5938	35	14	)	)	PUNCT
ajase-5938	35	15	with	with	ADP
ajase-5938	35	16	regularization	regularization	NOUN
ajase-5938	35	17	techniques	technique	NOUN
ajase-5938	35	18	in	in	ADP
ajase-5938	35	19	low	low	ADJ
ajase-5938	35	20	-	-	PUNCT
ajase-5938	35	21	dimensional	dimensional	ADJ
ajase-5938	35	22	settings	setting	NOUN
ajase-5938	35	23	,	,	PUNCT
ajase-5938	35	24	where	where	SCONJ
ajase-5938	35	25	the	the	DET
ajase-5938	35	26	number	number	NOUN
ajase-5938	35	27	of	of	ADP
ajase-5938	35	28	predictors	predictor	NOUN
ajase-5938	35	29	is	be	AUX
ajase-5938	35	30	less	less	ADJ
ajase-5938	35	31	than	than	ADP
ajase-5938	35	32	the	the	DET
ajase-5938	35	33	observations	observation	NOUN
ajase-5938	35	34	,	,	PUNCT
ajase-5938	35	35	there	there	PRON
ajase-5938	35	36	is	be	VERB
ajase-5938	35	37	a	a	DET
ajase-5938	35	38	clear	clear	ADJ
ajase-5938	35	39	need	need	NOUN
ajase-5938	35	40	for	for	ADP
ajase-5938	35	41	sparse	sparse	ADJ
ajase-5938	35	42	pcr	pcr	NOUN
ajase-5938	35	43	.	.	PUNCT
ajase-5938	36	1	sparse	sparse	ADJ
ajase-5938	36	2	pcr	pcr	NOUN
ajase-5938	36	3	can	can	AUX
ajase-5938	36	4	be	be	AUX
ajase-5938	36	5	more	more	ADV
ajase-5938	36	6	advantageous	advantageous	ADJ
ajase-5938	36	7	in	in	ADP
ajase-5938	36	8	situations	situation	NOUN
ajase-5938	36	9	with	with	ADP
ajase-5938	36	10	a	a	DET
ajase-5938	36	11	large	large	ADJ
ajase-5938	36	12	number	number	NOUN
ajase-5938	36	13	of	of	ADP
ajase-5938	36	14	predictor	predictor	NOUN
ajase-5938	36	15	variables	variable	NOUN
ajase-5938	36	16	,	,	PUNCT
ajase-5938	36	17	as	as	SCONJ
ajase-5938	36	18	it	it	PRON
ajase-5938	36	19	identifies	identify	VERB
ajase-5938	36	20	a	a	DET
ajase-5938	36	21	smaller	small	ADJ
ajase-5938	36	22	subset	subset	NOUN
ajase-5938	36	23	of	of	ADP
ajase-5938	36	24	the	the	DET
ajase-5938	36	25	original	original	ADJ
ajase-5938	36	26	predictors	predictor	NOUN
ajase-5938	36	27	that	that	PRON
ajase-5938	36	28	are	be	AUX
ajase-5938	36	29	most	most	ADV
ajase-5938	36	30	crucial	crucial	ADJ
ajase-5938	36	31	in	in	ADP
ajase-5938	36	32	predicting	predict	VERB
ajase-5938	36	33	the	the	DET
ajase-5938	36	34	response	response	NOUN
ajase-5938	36	35	variable	variable	NOUN
ajase-5938	36	36	.	.	PUNCT
ajase-5938	37	1	in	in	ADP
ajase-5938	37	2	this	this	DET
ajase-5938	37	3	thesis	thesis	NOUN
ajase-5938	37	4	,	,	PUNCT
ajase-5938	37	5	we	we	PRON
ajase-5938	37	6	aim	aim	VERB
ajase-5938	37	7	to	to	PART
ajase-5938	37	8	address	address	VERB
ajase-5938	37	9	the	the	DET
ajase-5938	37	10	challenges	challenge	NOUN
ajase-5938	37	11	posed	pose	VERB
ajase-5938	37	12	by	by	ADP
ajase-5938	37	13	high	high	ADJ
ajase-5938	37	14	-	-	PUNCT
ajase-5938	37	15	dimensional	dimensional	ADJ
ajase-5938	37	16	data	datum	NOUN
ajase-5938	37	17	through	through	ADP
ajase-5938	37	18	the	the	DET
ajase-5938	37	19	application	application	NOUN
ajase-5938	37	20	of	of	ADP
ajase-5938	37	21	regularization	regularization	NOUN
ajase-5938	37	22	techniques	technique	NOUN
ajase-5938	37	23	and	and	CCONJ
ajase-5938	37	24	sparse	sparse	VERB
ajase-5938	37	25	principal	principal	ADJ
ajase-5938	37	26	component	component	NOUN
ajase-5938	37	27	regression	regression	NOUN
ajase-5938	37	28	(	(	PUNCT
ajase-5938	37	29	spcr	spcr	ADJ
ajase-5938	37	30	)	)	PUNCT
ajase-5938	37	31	.	.	PUNCT
ajase-5938	38	1	by	by	ADP
ajase-5938	38	2	developing	develop	VERB
ajase-5938	38	3	a	a	DET
ajase-5938	38	4	novel	novel	ADJ
ajase-5938	38	5	two	two	NUM
ajase-5938	38	6	-	-	PUNCT
ajase-5938	38	7	step	step	NOUN
ajase-5938	38	8	sparse	sparse	ADJ
ajase-5938	38	9	learning	learn	VERB
ajase-5938	38	10	approach	approach	NOUN
ajase-5938	38	11	that	that	PRON
ajase-5938	38	12	integrates	integrate	NOUN
ajase-5938	38	13	sparse	sparse	ADJ
ajase-5938	38	14	principal	principal	ADJ
ajase-5938	38	15	component	component	NOUN
ajase-5938	38	16	regression	regression	NOUN
ajase-5938	38	17	(	(	PUNCT
ajase-5938	38	18	spcr	spcr	ADJ
ajase-5938	38	19	)	)	PUNCT
ajase-5938	38	20	with	with	ADP
ajase-5938	38	21	regularization	regularization	NOUN
ajase-5938	38	22	techniques	technique	NOUN
ajase-5938	38	23	(	(	PUNCT
ajase-5938	38	24	ridge	ridge	NOUN
ajase-5938	38	25	regression	regression	NOUN
ajase-5938	38	26	,	,	PUNCT
ajase-5938	38	27	lasso	lasso	NOUN
ajase-5938	38	28	,	,	PUNCT
ajase-5938	38	29	elastic	elastic	ADJ
ajase-5938	38	30	net	net	NOUN
ajase-5938	38	31	,	,	PUNCT
ajase-5938	38	32	and	and	CCONJ
ajase-5938	38	33	smoothly	smoothly	ADV
ajase-5938	38	34	clipped	clip	VERB
ajase-5938	38	35	absolute	absolute	ADJ
ajase-5938	38	36	deviation	deviation	NOUN
ajase-5938	38	37	)	)	PUNCT
ajase-5938	38	38	.	.	PUNCT
ajase-5938	39	1	this	this	DET
ajase-5938	39	2	combined	combined	ADJ
ajase-5938	39	3	approach	approach	NOUN
ajase-5938	39	4	seeks	seek	VERB
ajase-5938	39	5	to	to	PART
ajase-5938	39	6	enhance	enhance	VERB
ajase-5938	39	7	predictive	predictive	ADJ
ajase-5938	39	8	accuracy	accuracy	NOUN
ajase-5938	39	9	and	and	CCONJ
ajase-5938	39	10	interpretability	interpretability	NOUN
ajase-5938	39	11	in	in	ADP
ajase-5938	39	12	high	high	ADJ
ajase-5938	39	13	-	-	PUNCT
ajase-5938	39	14	dimensional	dimensional	ADJ
ajase-5938	39	15	datasets	dataset	NOUN
ajase-5938	39	16	,	,	PUNCT
ajase-5938	39	17	particularly	particularly	ADV
ajase-5938	39	18	in	in	ADP
ajase-5938	39	19	scenarios	scenario	NOUN
ajase-5938	39	20	involving	involve	VERB
ajase-5938	39	21	multicollinearity	multicollinearity	NOUN
ajase-5938	39	22	and	and	CCONJ
ajase-5938	39	23	sparsity	sparsity	NOUN
ajase-5938	39	24	.	.	PUNCT
ajase-5938	40	1	the	the	DET
ajase-5938	40	2	specific	specific	ADJ
ajase-5938	40	3	objectives	objective	NOUN
ajase-5938	40	4	include	include	VERB
ajase-5938	40	5	to	to	PART
ajase-5938	40	6	:	:	PUNCT
ajase-5938	40	7	i.	i.	NOUN
ajase-5938	40	8	develop	develop	VERB
ajase-5938	40	9	efficient	efficient	ADJ
ajase-5938	40	10	framework	framework	NOUN
ajase-5938	40	11	that	that	PRON
ajase-5938	40	12	combine	combine	VERB
ajase-5938	40	13	spcr	spcr	ADJ
ajase-5938	40	14	with	with	ADP
ajase-5938	40	15	regularization	regularization	NOUN
ajase-5938	40	16	methods	method	NOUN
ajase-5938	40	17	.	.	PUNCT
ajase-5938	41	1	ii	ii	PROPN
ajase-5938	41	2	.	.	PROPN
ajase-5938	41	3	assess	assess	VERB
ajase-5938	41	4	the	the	DET
ajase-5938	41	5	performance	performance	NOUN
ajase-5938	41	6	of	of	ADP
ajase-5938	41	7	the	the	DET
ajase-5938	41	8	combined	combine	VERB
ajase-5938	41	9	approach	approach	NOUN
ajase-5938	41	10	using	use	VERB
ajase-5938	41	11	traditional	traditional	ADJ
ajase-5938	41	12	modeling	modeling	NOUN
ajase-5938	41	13	techniques	technique	NOUN
ajase-5938	41	14	like	like	ADP
ajase-5938	41	15	lasso	lasso	NOUN
ajase-5938	41	16	and	and	CCONJ
ajase-5938	41	17	ridge	ridge	VERB
ajase-5938	41	18	through	through	ADP
ajase-5938	41	19	predictive	predictive	ADJ
ajase-5938	41	20	accuracy	accuracy	NOUN
ajase-5938	41	21	measures	measure	NOUN
ajase-5938	41	22	,	,	PUNCT
ajase-5938	41	23	i.e.	i.e.	X
ajase-5938	41	24	mean	mean	ADJ
ajase-5938	41	25	square	square	ADJ
ajase-5938	41	26	error	error	NOUN
ajase-5938	41	27	.	.	PUNCT
ajase-5938	42	1	iii	iii	X
ajase-5938	42	2	.	.	PUNCT
ajase-5938	42	3	design	design	VERB
ajase-5938	42	4	a	a	DET
ajase-5938	42	5	simulation	simulation	NOUN
ajase-5938	42	6	study	study	NOUN
ajase-5938	42	7	to	to	PART
ajase-5938	42	8	demonstrate	demonstrate	VERB
ajase-5938	42	9	the	the	DET
ajase-5938	42	10	robustness	robustness	NOUN
ajase-5938	42	11	of	of	ADP
ajase-5938	42	12	the	the	DET
ajase-5938	42	13	proposed	propose	VERB
ajase-5938	42	14	approach	approach	NOUN
ajase-5938	42	15	across	across	ADP
ajase-5938	42	16	multiple	multiple	ADJ
ajase-5938	42	17	high	high	ADJ
ajase-5938	42	18	-	-	PUNCT
ajase-5938	42	19	dimensional	dimensional	ADJ
ajase-5938	42	20	datasets	dataset	NOUN
ajase-5938	42	21	,	,	PUNCT
ajase-5938	42	22	varying	vary	VERB
ajase-5938	42	23	in	in	ADP
ajase-5938	42	24	sample	sample	NOUN
ajase-5938	42	25	size	size	NOUN
ajase-5938	42	26	,	,	PUNCT
ajase-5938	42	27	multicollinearity	multicollinearity	NOUN
ajase-5938	42	28	,	,	PUNCT
ajase-5938	42	29	and	and	CCONJ
ajase-5938	42	30	sparsity	sparsity	NOUN
ajase-5938	42	31	levels	level	NOUN
ajase-5938	42	32	.	.	PUNCT
ajase-5938	43	1	literature	literature	NOUN
ajase-5938	43	2	review	review	VERB
ajase-5938	43	3	empirical	empirical	ADJ
ajase-5938	43	4	work	work	NOUN
ajase-5938	43	5	on	on	ADP
ajase-5938	43	6	high	high	ADJ
ajase-5938	43	7	-	-	PUNCT
ajase-5938	43	8	dimensional	dimensional	ADJ
ajase-5938	43	9	prediction	prediction	NOUN
ajase-5938	43	10	has	have	AUX
ajase-5938	43	11	converged	converge	VERB
ajase-5938	43	12	on	on	ADP
ajase-5938	43	13	two	two	NUM
ajase-5938	43	14	broadly	broadly	ADV
ajase-5938	43	15	successful	successful	ADJ
ajase-5938	43	16	strategies	strategy	NOUN
ajase-5938	43	17	.	.	PUNCT
ajase-5938	44	1	the	the	DET
ajase-5938	44	2	first	first	ADJ
ajase-5938	44	3	reduces	reduce	VERB
ajase-5938	44	4	dimensionality	dimensionality	NOUN
ajase-5938	44	5	via	via	ADP
ajase-5938	44	6	latent	latent	ADJ
ajase-5938	44	7	factors	factor	NOUN
ajase-5938	44	8	or	or	CCONJ
ajase-5938	44	9	components	component	NOUN
ajase-5938	44	10	(	(	PUNCT
ajase-5938	44	11	e.g.	e.g.	ADV
ajase-5938	44	12	,	,	PUNCT
ajase-5938	44	13	principal	principal	ADJ
ajase-5938	44	14	component	component	NOUN
ajase-5938	44	15	regression	regression	NOUN
ajase-5938	44	16	—	—	PUNCT
ajase-5938	44	17	pcr	pcr	PROPN
ajase-5938	44	18	)	)	PUNCT
ajase-5938	44	19	,	,	PUNCT
ajase-5938	44	20	which	which	PRON
ajase-5938	44	21	mitigates	mitigate	VERB
ajase-5938	44	22	multicollinearity	multicollinearity	NOUN
ajase-5938	44	23	and	and	CCONJ
ajase-5938	44	24	variance	variance	NOUN
ajase-5938	44	25	inflation	inflation	NOUN
ajase-5938	44	26	(	(	PUNCT
ajase-5938	44	27	jolliffe	jolliffe	PROPN
ajase-5938	44	28	,	,	PUNCT
ajase-5938	44	29	2002	2002	NUM
ajase-5938	44	30	;	;	PUNCT
ajase-5938	44	31	hastie	hastie	PROPN
ajase-5938	44	32	et	et	PROPN
ajase-5938	44	33	al	al	PROPN
ajase-5938	44	34	.	.	PROPN
ajase-5938	44	35	,	,	PUNCT
ajase-5938	44	36	2009	2009	NUM
ajase-5938	44	37	)	)	PUNCT
ajase-5938	44	38	.	.	PUNCT
ajase-5938	45	1	the	the	DET
ajase-5938	45	2	second	second	ADJ
ajase-5938	45	3	directly	directly	ADV
ajase-5938	45	4	penalizes	penalize	VERB
ajase-5938	45	5	regression	regression	NOUN
ajase-5938	45	6	coefficients	coefficient	NOUN
ajase-5938	45	7	to	to	PART
ajase-5938	45	8	induce	induce	VERB
ajase-5938	45	9	shrinkage	shrinkage	NOUN
ajase-5938	45	10	and	and	CCONJ
ajase-5938	45	11	(	(	PUNCT
ajase-5938	45	12	sometimes	sometimes	ADV
ajase-5938	45	13	)	)	PUNCT
ajase-5938	45	14	sparsity	sparsity	NOUN
ajase-5938	45	15	(	(	PUNCT
ajase-5938	45	16	ridge	ridge	NOUN
ajase-5938	45	17	,	,	PUNCT
ajase-5938	45	18	lasso	lasso	NOUN
ajase-5938	45	19	,	,	PUNCT
ajase-5938	45	20	elastic	elastic	ADJ
ajase-5938	45	21	net	net	NOUN
ajase-5938	45	22	,	,	PUNCT
ajase-5938	45	23	scad	scad	NOUN
ajase-5938	45	24	)	)	PUNCT
ajase-5938	45	25	,	,	PUNCT
ajase-5938	45	26	which	which	PRON
ajase-5938	45	27	controls	control	VERB
ajase-5938	45	28	overfitting	overfitte	VERB
ajase-5938	45	29	and	and	CCONJ
ajase-5938	45	30	performs	perform	VERB
ajase-5938	45	31	variable	variable	ADJ
ajase-5938	45	32	selection	selection	NOUN
ajase-5938	45	33	when	when	SCONJ
ajase-5938	45	34	appropriate	appropriate	ADJ
ajase-5938	45	35	(	(	PUNCT
ajase-5938	45	36	hoerl	hoerl	NOUN
ajase-5938	45	37	&	&	CCONJ
ajase-5938	45	38	kennard	kennard	NOUN
ajase-5938	45	39	,	,	PUNCT
ajase-5938	45	40	1970	1970	NUM
ajase-5938	45	41	;	;	PUNCT
ajase-5938	45	42	tibshirani	tibshirani	PROPN
ajase-5938	45	43	,	,	PUNCT
ajase-5938	45	44	1996	1996	NUM
ajase-5938	45	45	;	;	PUNCT
ajase-5938	45	46	zou	zou	PROPN
ajase-5938	45	47	&	&	CCONJ
ajase-5938	45	48	hastie	hastie	PROPN
ajase-5938	45	49	,	,	PUNCT
ajase-5938	45	50	2005	2005	NUM
ajase-5938	45	51	;	;	PUNCT
ajase-5938	45	52	fan	fan	PROPN
ajase-5938	45	53	&	&	CCONJ
ajase-5938	45	54	li	li	PROPN
ajase-5938	45	55	,	,	PUNCT
ajase-5938	45	56	2001	2001	NUM
ajase-5938	45	57	)	)	PUNCT
ajase-5938	45	58	.	.	PUNCT
ajase-5938	46	1	empirical	empirical	ADJ
ajase-5938	46	2	comparisons	comparison	NOUN
ajase-5938	46	3	show	show	VERB
ajase-5938	46	4	neither	neither	DET
ajase-5938	46	5	approach	approach	NOUN
ajase-5938	46	6	dominates	dominate	VERB
ajase-5938	46	7	across	across	ADP
ajase-5938	46	8	all	all	DET
ajase-5938	46	9	data	datum	NOUN
ajase-5938	46	10	regimes	regime	NOUN
ajase-5938	46	11	:	:	PUNCT
ajase-5938	46	12	pcr	pcr	NOUN
ajase-5938	46	13	is	be	AUX
ajase-5938	46	14	robust	robust	ADJ
ajase-5938	46	15	under	under	ADP
ajase-5938	46	16	extreme	extreme	ADJ
ajase-5938	46	17	multicollinearity	multicollinearity	NOUN
ajase-5938	46	18	but	but	CCONJ
ajase-5938	46	19	produces	produce	VERB
ajase-5938	46	20	components	component	NOUN
ajase-5938	46	21	that	that	PRON
ajase-5938	46	22	are	be	AUX
ajase-5938	46	23	not	not	PART
ajase-5938	46	24	tailored	tailor	VERB
ajase-5938	46	25	to	to	PART
ajase-5938	46	26	prediction	prediction	NOUN
ajase-5938	46	27	of	of	ADP
ajase-5938	46	28	the	the	DET
ajase-5938	46	29	response	response	NOUN
ajase-5938	46	30	,	,	PUNCT
ajase-5938	46	31	while	while	SCONJ
ajase-5938	46	32	penalized	penalize	VERB
ajase-5938	46	33	regressions	regression	NOUN
ajase-5938	46	34	are	be	AUX
ajase-5938	46	35	powerful	powerful	ADJ
ajase-5938	46	36	for	for	ADP
ajase-5938	46	37	sparse	sparse	ADJ
ajase-5938	46	38	signals	signal	NOUN
ajase-5938	46	39	but	but	CCONJ
ajase-5938	46	40	can	can	AUX
ajase-5938	46	41	struggle	struggle	VERB
ajase-5938	46	42	when	when	SCONJ
ajase-5938	46	43	predictors	predictor	NOUN
ajase-5938	46	44	are	be	AUX
ajase-5938	46	45	highly	highly	ADV
ajase-5938	46	46	correlated	correlate	VERB
ajase-5938	46	47	(	(	PUNCT
ajase-5938	46	48	hastie	hastie	PROPN
ajase-5938	46	49	et	et	PROPN
ajase-5938	46	50	al	al	PROPN
ajase-5938	46	51	.	.	PROPN
ajase-5938	46	52	,	,	PUNCT
ajase-5938	46	53	2009	2009	NUM
ajase-5938	46	54	)	)	PUNCT
ajase-5938	46	55	.	.	PUNCT
ajase-5938	47	1	to	to	PART
ajase-5938	47	2	bridge	bridge	VERB
ajase-5938	47	3	the	the	DET
ajase-5938	47	4	gap	gap	NOUN
ajase-5938	47	5	between	between	ADP
ajase-5938	47	6	unsupervised	unsupervised	ADJ
ajase-5938	47	7	dimension	dimension	NOUN
ajase-5938	47	8	reduction	reduction	NOUN
ajase-5938	47	9	and	and	CCONJ
ajase-5938	47	10	predictive	predictive	ADJ
ajase-5938	47	11	goals	goal	NOUN
ajase-5938	47	12	,	,	PUNCT
ajase-5938	47	13	researchers	researcher	NOUN
ajase-5938	47	14	developed	develop	VERB
ajase-5938	47	15	sparse	sparse	ADJ
ajase-5938	47	16	principal	principal	ADJ
ajase-5938	47	17	component	component	NOUN
ajase-5938	47	18	analysis	analysis	NOUN
ajase-5938	47	19	(	(	PUNCT
ajase-5938	47	20	spca	spca	PROPN
ajase-5938	47	21	)	)	PUNCT
ajase-5938	47	22	and	and	CCONJ
ajase-5938	47	23	sparse	sparse	VERB
ajase-5938	47	24	principal	principal	ADJ
ajase-5938	47	25	component	component	NOUN
ajase-5938	47	26	regression	regression	NOUN
ajase-5938	47	27	(	(	PUNCT
ajase-5938	47	28	spcr	spcr	ADJ
ajase-5938	47	29	)	)	PUNCT
ajase-5938	47	30	.	.	PUNCT
ajase-5938	48	1	spca	spca	PROPN
ajase-5938	48	2	(	(	PUNCT
ajase-5938	48	3	zou	zou	PROPN
ajase-5938	48	4	et	et	PROPN
ajase-5938	48	5	al	al	PROPN
ajase-5938	48	6	.	.	PROPN
ajase-5938	48	7	,	,	PUNCT
ajase-5938	48	8	2006	2006	NUM
ajase-5938	48	9	;	;	PUNCT
ajase-5938	48	10	witten	witten	PROPN
ajase-5938	48	11	et	et	PROPN
ajase-5938	48	12	al	al	PROPN
ajase-5938	48	13	.	.	PROPN
ajase-5938	48	14	,	,	PUNCT
ajase-5938	48	15	2009	2009	NUM
ajase-5938	48	16	)	)	PUNCT
ajase-5938	48	17	imposes	impose	VERB
ajase-5938	48	18	sparsity	sparsity	NOUN
ajase-5938	48	19	on	on	ADP
ajase-5938	48	20	loadings	loading	NOUN
ajase-5938	48	21	so	so	SCONJ
ajase-5938	48	22	principal	principal	ADJ
ajase-5938	48	23	components	component	NOUN
ajase-5938	48	24	involve	involve	VERB
ajase-5938	48	25	only	only	ADV
ajase-5938	48	26	a	a	DET
ajase-5938	48	27	subset	subset	NOUN
ajase-5938	48	28	of	of	ADP
ajase-5938	48	29	predictors	predictor	NOUN
ajase-5938	48	30	,	,	PUNCT
ajase-5938	48	31	improving	improve	VERB
ajase-5938	48	32	interpretability	interpretability	NOUN
ajase-5938	48	33	without	without	ADP
ajase-5938	48	34	discarding	discard	VERB
ajase-5938	48	35	the	the	DET
ajase-5938	48	36	variance	variance	NOUN
ajase-5938	48	37	-	-	PUNCT
ajase-5938	48	38	reduction	reduction	NOUN
ajase-5938	48	39	benefit	benefit	NOUN
ajase-5938	48	40	of	of	ADP
ajase-5938	48	41	pca	pca	PROPN
ajase-5938	48	42	.	.	PUNCT
ajase-5938	49	1	empirical	empirical	ADJ
ajase-5938	49	2	studies	study	NOUN
ajase-5938	49	3	in	in	ADP
ajase-5938	49	4	genomics	genomics	PROPN
ajase-5938	49	5	,	,	PUNCT
ajase-5938	49	6	chemometrics	chemometric	NOUN
ajase-5938	49	7	,	,	PUNCT
ajase-5938	49	8	and	and	CCONJ
ajase-5938	49	9	neuroimaging	neuroimaging	NOUN
ajase-5938	49	10	have	have	AUX
ajase-5938	49	11	found	find	VERB
ajase-5938	49	12	spca	spca	PROPN
ajase-5938	49	13	yields	yield	NOUN
ajase-5938	49	14	components	component	NOUN
ajase-5938	49	15	that	that	PRON
ajase-5938	49	16	are	be	AUX
ajase-5938	49	17	easier	easy	ADJ
ajase-5938	49	18	to	to	PART
ajase-5938	49	19	interpret	interpret	VERB
ajase-5938	49	20	and	and	CCONJ
ajase-5938	49	21	often	often	ADV
ajase-5938	49	22	more	more	ADV
ajase-5938	49	23	useful	useful	ADJ
ajase-5938	49	24	as	as	ADP
ajase-5938	49	25	inputs	input	NOUN
ajase-5938	49	26	for	for	ADP
ajase-5938	49	27	supervised	supervised	ADJ
ajase-5938	49	28	tasks	task	NOUN
ajase-5938	49	29	than	than	ADP
ajase-5938	49	30	dense	dense	ADJ
ajase-5938	49	31	pca	pca	NOUN
ajase-5938	49	32	components	component	NOUN
ajase-5938	49	33	.	.	PUNCT
ajase-5938	50	1	spcr	spcr	ADJ
ajase-5938	50	2	,	,	PUNCT
ajase-5938	50	3	either	either	CCONJ
ajase-5938	50	4	formulated	formulate	VERB
ajase-5938	50	5	as	as	ADP
ajase-5938	50	6	a	a	DET
ajase-5938	50	7	one	one	NUM
ajase-5938	50	8	-	-	PUNCT
ajase-5938	50	9	stage	stage	NOUN
ajase-5938	50	10	joint	joint	ADJ
ajase-5938	50	11	optimization	optimization	NOUN
ajase-5938	50	12	of	of	ADP
ajase-5938	50	13	component	component	NOUN
ajase-5938	50	14	extraction	extraction	NOUN
ajase-5938	50	15	and	and	CCONJ
ajase-5938	50	16	regression	regression	NOUN
ajase-5938	50	17	loss	loss	NOUN
ajase-5938	50	18	or	or	CCONJ
ajase-5938	50	19	as	as	ADP
ajase-5938	50	20	a	a	DET
ajase-5938	50	21	carefully	carefully	ADV
ajase-5938	50	22	tuned	tune	VERB
ajase-5938	50	23	two	two	NUM
ajase-5938	50	24	-	-	PUNCT
ajase-5938	50	25	stage	stage	NOUN
ajase-5938	50	26	procedure	procedure	NOUN
ajase-5938	50	27	,	,	PUNCT
ajase-5938	50	28	goes	go	VERB
ajase-5938	50	29	further	far	ADV
ajase-5938	50	30	by	by	ADP
ajase-5938	50	31	explicitly	explicitly	ADV
ajase-5938	50	32	constructing	construct	VERB
ajase-5938	50	33	components	component	NOUN
ajase-5938	50	34	that	that	PRON
ajase-5938	50	35	optimize	optimize	VERB
ajase-5938	50	36	predictive	predictive	ADJ
ajase-5938	50	37	performance	performance	NOUN
ajase-5938	50	38	(	(	PUNCT
ajase-5938	50	39	kawano	kawano	PROPN
ajase-5938	50	40	,	,	PUNCT
ajase-5938	50	41	2018	2018	NUM
ajase-5938	50	42	;	;	PUNCT
ajase-5938	51	1	zou	zou	PROPN
ajase-5938	51	2	et	et	PROPN
ajase-5938	51	3	al	al	PROPN
ajase-5938	51	4	.	.	PROPN
ajase-5938	51	5	,	,	PUNCT
ajase-5938	51	6	2006	2006	NUM
ajase-5938	51	7	)	)	PUNCT
ajase-5938	51	8	.	.	PUNCT
ajase-5938	52	1	empirical	empirical	ADJ
ajase-5938	52	2	comparisons	comparison	NOUN
ajase-5938	52	3	show	show	VERB
ajase-5938	52	4	spcr	spcr	ADJ
ajase-5938	52	5	often	often	ADV
ajase-5938	52	6	outperforms	outperform	VERB
ajase-5938	52	7	classical	classical	ADJ
ajase-5938	52	8	pcr	pcr	NOUN
ajase-5938	52	9	when	when	SCONJ
ajase-5938	52	10	the	the	DET
ajase-5938	52	11	directions	direction	NOUN
ajase-5938	52	12	of	of	ADP
ajase-5938	52	13	maximal	maximal	ADJ
ajase-5938	52	14	predictor	predictor	NOUN
ajase-5938	52	15	variance	variance	NOUN
ajase-5938	52	16	differ	differ	VERB
ajase-5938	52	17	from	from	ADP
ajase-5938	52	18	the	the	DET
ajase-5938	52	19	directions	direction	NOUN
ajase-5938	52	20	most	most	ADV
ajase-5938	52	21	predictive	predictive	ADJ
ajase-5938	52	22	of	of	ADP
ajase-5938	52	23	the	the	DET
ajase-5938	52	24	outcome	outcome	NOUN
ajase-5938	52	25	(	(	PUNCT
ajase-5938	52	26	i.e.	i.e.	X
ajase-5938	52	27	,	,	PUNCT
ajase-5938	52	28	when	when	SCONJ
ajase-5938	52	29	supervised	supervised	ADJ
ajase-5938	52	30	signal	signal	NOUN
ajase-5938	52	31	does	do	AUX
ajase-5938	52	32	not	not	PART
ajase-5938	52	33	align	align	VERB
ajase-5938	52	34	with	with	ADP
ajase-5938	52	35	principal	principal	ADJ
ajase-5938	52	36	variance	variance	NOUN
ajase-5938	52	37	directions	direction	NOUN
ajase-5938	52	38	)	)	PUNCT
ajase-5938	52	39	.	.	PUNCT
ajase-5938	53	1	applications	application	NOUN
ajase-5938	53	2	in	in	ADP
ajase-5938	53	3	biological	biological	ADJ
ajase-5938	53	4	data	datum	NOUN
ajase-5938	53	5	and	and	CCONJ
ajase-5938	53	6	other	other	ADJ
ajase-5938	53	7	high	high	ADJ
ajase-5938	53	8	-	-	PUNCT
ajase-5938	53	9	dimensional	dimensional	ADJ
ajase-5938	53	10	domains	domain	NOUN
ajase-5938	53	11	report	report	VERB
ajase-5938	53	12	improved	improve	VERB
ajase-5938	53	13	prediction	prediction	NOUN
ajase-5938	53	14	and	and	CCONJ
ajase-5938	53	15	sparser	sparse	ADJ
ajase-5938	53	16	,	,	PUNCT
ajase-5938	53	17	more	more	ADV
ajase-5938	53	18	actionable	actionable	ADJ
ajase-5938	53	19	component	component	NOUN
ajase-5938	53	20	loadings	loading	NOUN
ajase-5938	53	21	(	(	PUNCT
ajase-5938	53	22	zou	zou	X
ajase-5938	53	23	et	et	PROPN
ajase-5938	53	24	al	al	PROPN
ajase-5938	53	25	.	.	PROPN
ajase-5938	53	26	,	,	PUNCT
ajase-5938	53	27	2006	2006	NUM
ajase-5938	53	28	;	;	PUNCT
ajase-5938	53	29	kawano	kawano	PROPN
ajase-5938	53	30	,	,	PUNCT
ajase-5938	53	31	2018	2018	NUM
ajase-5938	53	32	)	)	PUNCT
ajase-5938	53	33	.	.	PUNCT
ajase-5938	54	1	there	there	PRON
ajase-5938	54	2	is	be	VERB
ajase-5938	54	3	substantial	substantial	ADJ
ajase-5938	54	4	empirical	empirical	ADJ
ajase-5938	54	5	evidence	evidence	NOUN
ajase-5938	54	6	that	that	SCONJ
ajase-5938	54	7	different	different	ADJ
ajase-5938	54	8	regularizers	regularizer	NOUN
ajase-5938	54	9	perform	perform	VERB
ajase-5938	54	10	differently	differently	ADV
ajase-5938	54	11	depending	depend	VERB
ajase-5938	54	12	on	on	ADP
ajase-5938	54	13	correlation	correlation	NOUN
ajase-5938	54	14	structure	structure	NOUN
ajase-5938	54	15	and	and	CCONJ
ajase-5938	54	16	sparsity	sparsity	NOUN
ajase-5938	54	17	.	.	PUNCT
ajase-5938	55	1	ridge	ridge	NOUN
ajase-5938	55	2	excels	excel	NOUN
ajase-5938	55	3	when	when	SCONJ
ajase-5938	55	4	many	many	ADJ
ajase-5938	55	5	predictors	predictor	NOUN
ajase-5938	55	6	carry	carry	VERB
ajase-5938	55	7	signal	signal	NOUN
ajase-5938	55	8	but	but	CCONJ
ajase-5938	55	9	are	be	AUX
ajase-5938	55	10	highly	highly	ADV
ajase-5938	55	11	correlated	correlate	VERB
ajase-5938	55	12	;	;	PUNCT
ajase-5938	55	13	it	it	PRON
ajase-5938	55	14	reduces	reduce	VERB
ajase-5938	55	15	variance	variance	NOUN
ajase-5938	55	16	without	without	ADP
ajase-5938	55	17	producing	produce	VERB
ajase-5938	55	18	sparse	sparse	ADJ
ajase-5938	55	19	solutions	solution	NOUN
ajase-5938	55	20	,	,	PUNCT
ajase-5938	55	21	often	often	ADV
ajase-5938	55	22	improving	improve	VERB
ajase-5938	55	23	outof	outof	PROPN
ajase-5938	55	24	-	-	PUNCT
ajase-5938	55	25	sample	sample	NOUN
ajase-5938	55	26	prediction	prediction	NOUN
ajase-5938	55	27	in	in	ADP
ajase-5938	55	28	dense	dense	ADJ
ajase-5938	55	29	-	-	PUNCT
ajase-5938	55	30	signal	signal	NOUN
ajase-5938	55	31	,	,	PUNCT
ajase-5938	55	32	collinear	collinear	ADJ
ajase-5938	55	33	settings	setting	NOUN
ajase-5938	55	34	(	(	PUNCT
ajase-5938	55	35	hoerl	hoerl	NOUN
ajase-5938	55	36	&	&	CCONJ
ajase-5938	55	37	kennard	kennard	NOUN
ajase-5938	55	38	,	,	PUNCT
ajase-5938	55	39	1970	1970	NUM
ajase-5938	55	40	)	)	PUNCT
ajase-5938	55	41	.	.	PUNCT
ajase-5938	56	1	also	also	ADV
ajase-5938	56	2	,	,	PUNCT
ajase-5938	56	3	lasso	lasso	NOUN
ajase-5938	56	4	provides	provide	VERB
ajase-5938	56	5	both	both	DET
ajase-5938	56	6	shrinkage	shrinkage	NOUN
ajase-5938	56	7	and	and	CCONJ
ajase-5938	56	8	variable	variable	ADJ
ajase-5938	56	9	selection	selection	NOUN
ajase-5938	56	10	and	and	CCONJ
ajase-5938	56	11	works	work	VERB
ajase-5938	56	12	well	well	ADV
ajase-5938	56	13	when	when	SCONJ
ajase-5938	56	14	the	the	DET
ajase-5938	56	15	true	true	ADJ
ajase-5938	56	16	model	model	NOUN
ajase-5938	56	17	is	be	AUX
ajase-5938	56	18	sparse	sparse	ADJ
ajase-5938	56	19	and	and	CCONJ
ajase-5938	56	20	predictors	predictor	NOUN
ajase-5938	56	21	are	be	AUX
ajase-5938	56	22	not	not	PART
ajase-5938	56	23	excessively	excessively	ADV
ajase-5938	56	24	collinear	collinear	ADJ
ajase-5938	56	25	;	;	PUNCT
ajase-5938	56	26	empirical	empirical	ADJ
ajase-5938	56	27	studies	study	NOUN
ajase-5938	56	28	show	show	VERB
ajase-5938	56	29	it	it	PRON
ajase-5938	56	30	can	can	AUX
ajase-5938	56	31	fail	fail	VERB
ajase-5938	56	32	to	to	PART
ajase-5938	56	33	reliably	reliably	ADV
ajase-5938	56	34	select	select	VERB
ajase-5938	56	35	the	the	DET
ajase-5938	56	36	“	"	PUNCT
ajase-5938	56	37	correct	correct	ADJ
ajase-5938	56	38	”	"	PUNCT
ajase-5938	56	39	group	group	NOUN
ajase-5938	56	40	in	in	ADP
ajase-5938	56	41	the	the	DET
ajase-5938	56	42	presence	presence	NOUN
ajase-5938	56	43	of	of	ADP
ajase-5938	56	44	strong	strong	ADJ
ajase-5938	56	45	predictor	predictor	NOUN
ajase-5938	56	46	correlation	correlation	NOUN
ajase-5938	56	47	(	(	PUNCT
ajase-5938	56	48	tibshirani	tibshirani	NOUN
ajase-5938	56	49	,	,	PUNCT
ajase-5938	56	50	1996	1996	NUM
ajase-5938	56	51	)	)	PUNCT
ajase-5938	56	52	.	.	PUNCT
ajase-5938	57	1	elastic	elastic	ADJ
ajase-5938	57	2	net	net	NOUN
ajase-5938	57	3	empirically	empirically	ADV
ajase-5938	57	4	combines	combine	VERB
ajase-5938	57	5	strengths	strength	NOUN
ajase-5938	57	6	of	of	ADP
ajase-5938	57	7	ridge	ridge	NOUN
ajase-5938	57	8	and	and	CCONJ
ajase-5938	57	9	lasso	lasso	NOUN
ajase-5938	57	10	,	,	PUNCT
ajase-5938	57	11	grouping	group	VERB
ajase-5938	57	12	correlated	correlate	VERB
ajase-5938	57	13	predictors	predictor	NOUN
ajase-5938	57	14	while	while	SCONJ
ajase-5938	57	15	performing	perform	VERB
ajase-5938	57	16	variable	variable	ADJ
ajase-5938	57	17	selection	selection	NOUN
ajase-5938	57	18	;	;	PUNCT
ajase-5938	57	19	simulation	simulation	NOUN
ajase-5938	57	20	and	and	CCONJ
ajase-5938	57	21	applied	apply	VERB
ajase-5938	57	22	work	work	NOUN
ajase-5938	57	23	show	show	VERB
ajase-5938	57	24	elastic	elastic	ADJ
ajase-5938	57	25	net	net	NOUN
ajase-5938	57	26	often	often	ADV
ajase-5938	57	27	outperforms	outperform	VERB
ajase-5938	57	28	lasso	lasso	NOUN
ajase-5938	57	29	under	under	ADP
ajase-5938	57	30	grouped	group	VERB
ajase-5938	57	31	-	-	PUNCT
ajase-5938	57	32	correlated	correlate	VERB
ajase-5938	57	33	designs	design	NOUN
ajase-5938	57	34	(	(	PUNCT
ajase-5938	57	35	zou	zou	PROPN
ajase-5938	57	36	&	&	CCONJ
ajase-5938	57	37	hastie	hastie	PROPN
ajase-5938	57	38	,	,	PUNCT
ajase-5938	57	39	2005	2005	NUM
ajase-5938	57	40	)	)	PUNCT
ajase-5938	57	41	.	.	PUNCT
ajase-5938	58	1	scad	scad	NOUN
ajase-5938	58	2	and	and	CCONJ
ajase-5938	58	3	other	other	ADJ
ajase-5938	58	4	nonconvex	nonconvex	NOUN
ajase-5938	58	5	penalties	penalty	NOUN
ajase-5938	58	6	(	(	PUNCT
ajase-5938	58	7	fan	fan	PROPN
ajase-5938	58	8	&	&	CCONJ
ajase-5938	58	9	li	li	PROPN
ajase-5938	58	10	,	,	PUNCT
ajase-5938	58	11	2001	2001	NUM
ajase-5938	58	12	)	)	PUNCT
ajase-5938	58	13	demonstrate	demonstrate	VERB
ajase-5938	58	14	favorable	favorable	ADJ
ajase-5938	58	15	oracle	oracle	NOUN
ajase-5938	58	16	properties	property	NOUN
ajase-5938	58	17	in	in	ADP
ajase-5938	58	18	theory	theory	NOUN
ajase-5938	58	19	and	and	CCONJ
ajase-5938	58	20	often	often	ADV
ajase-5938	58	21	reduced	reduce	VERB
ajase-5938	58	22	bias	bias	NOUN
ajase-5938	58	23	empirically	empirically	ADV
ajase-5938	58	24	compared	compare	VERB
ajase-5938	58	25	to	to	ADP
ajase-5938	58	26	lasso	lasso	NOUN
ajase-5938	58	27	,	,	PUNCT
ajase-5938	58	28	but	but	CCONJ
ajase-5938	58	29	they	they	PRON
ajase-5938	58	30	require	require	VERB
ajase-5938	58	31	careful	careful	ADJ
ajase-5938	58	32	tuning	tuning	NOUN
ajase-5938	58	33	and	and	CCONJ
ajase-5938	58	34	are	be	AUX
ajase-5938	58	35	more	more	ADV
ajase-5938	58	36	sensitive	sensitive	ADJ
ajase-5938	58	37	to	to	ADP
ajase-5938	58	38	initialization	initialization	NOUN
ajase-5938	58	39	and	and	CCONJ
ajase-5938	58	40	optimization	optimization	NOUN
ajase-5938	58	41	choices	choice	NOUN
ajase-5938	58	42	.	.	PUNCT
ajase-5938	59	1	empirical	empirical	ADJ
ajase-5938	59	2	simulation	simulation	NOUN
ajase-5938	59	3	studies	study	NOUN
ajase-5938	59	4	repeatedly	repeatedly	ADV
ajase-5938	59	5	demonstrate	demonstrate	VERB
ajase-5938	59	6	there	there	PRON
ajase-5938	59	7	is	be	VERB
ajase-5938	59	8	no	no	DET
ajase-5938	59	9	uniformly	uniformly	ADV
ajase-5938	59	10	best	good	ADJ
ajase-5938	59	11	penalty	penalty	NOUN
ajase-5938	59	12	:	:	PUNCT
ajase-5938	59	13	performance	performance	NOUN
ajase-5938	59	14	depends	depend	VERB
ajase-5938	59	15	on	on	ADP
ajase-5938	59	16	(	(	PUNCT
ajase-5938	59	17	i	i	NOUN
ajase-5938	59	18	)	)	PUNCT
ajase-5938	59	19	sparsity	sparsity	NOUN
ajase-5938	59	20	level	level	NOUN
ajase-5938	59	21	,	,	PUNCT
ajase-5938	59	22	(	(	PUNCT
ajase-5938	59	23	ii	ii	NOUN
ajase-5938	59	24	)	)	PUNCT
ajase-5938	59	25	inter	inter	ADJ
ajase-5938	59	26	-	-	ADJ
ajase-5938	59	27	predictor	predictor	ADJ
ajase-5938	59	28	correlation	correlation	NOUN
ajase-5938	59	29	,	,	PUNCT
ajase-5938	59	30	(	(	PUNCT
ajase-5938	59	31	iii	iii	NOUN
ajase-5938	59	32	)	)	PUNCT
ajase-5938	59	33	signal	signal	NOUN
ajase-5938	59	34	strength	strength	NOUN
ajase-5938	59	35	,	,	PUNCT
ajase-5938	59	36	and	and	CCONJ
ajase-5938	59	37	(	(	PUNCT
ajase-5938	59	38	iv	iv	X
ajase-5938	59	39	)	)	PUNCT
ajase-5938	59	40	sample	sample	NOUN
ajase-5938	59	41	size	size	NOUN
ajase-5938	59	42	.	.	PUNCT
ajase-5938	60	1	this	this	PRON
ajase-5938	60	2	motivates	motivate	VERB
ajase-5938	60	3	this	this	DET
ajase-5938	60	4	study	study	NOUN
ajase-5938	60	5	that	that	PRON
ajase-5938	60	6	systematically	systematically	ADV
ajase-5938	60	7	maps	map	VERB
ajase-5938	60	8	performance	performance	NOUN
ajase-5938	60	9	across	across	ADP
ajase-5938	60	10	different	different	ADJ
ajase-5938	60	11	scenarios	scenario	NOUN
ajase-5938	60	12	rather	rather	ADV
ajase-5938	60	13	than	than	ADP
ajase-5938	60	14	relying	rely	VERB
ajase-5938	60	15	on	on	ADP
ajase-5938	60	16	single	single	ADJ
ajase-5938	60	17	-	-	PUNCT
ajase-5938	60	18	case	case	NOUN
ajase-5938	60	19	comparisons	comparison	NOUN
ajase-5938	60	20	.	.	PUNCT
ajase-5938	61	1	materials	material	NOUN
ajase-5938	61	2	and	and	CCONJ
ajase-5938	61	3	methods	method	NOUN
ajase-5938	61	4	development	development	NOUN
ajase-5938	61	5	of	of	ADP
ajase-5938	61	6	novel	novel	ADJ
ajase-5938	61	7	two	two	NUM
ajase-5938	61	8	-	-	PUNCT
ajase-5938	61	9	step	step	NOUN
ajase-5938	61	10	sparse	sparse	ADJ
ajase-5938	61	11	learning	learn	VERB
ajase-5938	61	12	techniques	technique	NOUN
ajase-5938	61	13	to	to	PART
ajase-5938	61	14	address	address	VERB
ajase-5938	61	15	the	the	DET
ajase-5938	61	16	challenges	challenge	NOUN
ajase-5938	61	17	of	of	ADP
ajase-5938	61	18	high	high	ADJ
ajase-5938	61	19	-	-	PUNCT
ajase-5938	61	20	dimensional	dimensional	ADJ
ajase-5938	61	21	data	datum	NOUN
ajase-5938	61	22	analysis	analysis	NOUN
ajase-5938	61	23	,	,	PUNCT
ajase-5938	61	24	this	this	DET
ajase-5938	61	25	study	study	NOUN
ajase-5938	61	26	integrates	integrate	VERB
ajase-5938	61	27	sparse	sparse	ADJ
ajase-5938	61	28	principal	principal	ADJ
ajase-5938	61	29	component	component	NOUN
ajase-5938	61	30	pa	pa	PROPN
ajase-5938	61	31	ge	ge	PROPN
ajase-5938	61	32	12	12	NUM
ajase-5938	61	33	9	9	NUM
ajase-5938	61	34	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5938	61	35	am	am	NOUN
ajase-5938	61	36	.	.	PUNCT
ajase-5938	62	1	j.	j.	PROPN
ajase-5938	62	2	appl	appl	PROPN
ajase-5938	62	3	.	.	PROPN
ajase-5938	63	1	stat	stat	PROPN
ajase-5938	63	2	.	.	PUNCT
ajase-5938	64	1	econ	econ	PROPN
ajase-5938	64	2	.	.	PUNCT
ajase-5938	65	1	4(1	4(1	X
ajase-5938	65	2	)	)	PUNCT
ajase-5938	66	1	127	127	NUM
ajase-5938	66	2	-	-	SYM
ajase-5938	66	3	140	140	NUM
ajase-5938	66	4	,	,	PUNCT
ajase-5938	66	5	2025	2025	NUM
ajase-5938	66	6	regression	regression	NOUN
ajase-5938	66	7	(	(	PUNCT
ajase-5938	66	8	spcr	spcr	ADJ
ajase-5938	66	9	)	)	PUNCT
ajase-5938	66	10	with	with	ADP
ajase-5938	66	11	regularization	regularization	NOUN
ajase-5938	66	12	techniques	technique	NOUN
ajase-5938	66	13	such	such	ADJ
ajase-5938	66	14	as	as	ADP
ajase-5938	66	15	ridge	ridge	NOUN
ajase-5938	66	16	,	,	PUNCT
ajase-5938	66	17	lasso	lasso	NOUN
ajase-5938	66	18	,	,	PUNCT
ajase-5938	66	19	elastic	elastic	ADJ
ajase-5938	66	20	net	net	NOUN
ajase-5938	66	21	,	,	PUNCT
ajase-5938	66	22	and	and	CCONJ
ajase-5938	66	23	scad	scad	NOUN
ajase-5938	66	24	.	.	PUNCT
ajase-5938	67	1	the	the	DET
ajase-5938	67	2	proposed	propose	VERB
ajase-5938	67	3	twostep	twostep	NOUN
ajase-5938	67	4	sparse	sparse	ADJ
ajase-5938	67	5	learning	learn	VERB
ajase-5938	67	6	approach	approach	NOUN
ajase-5938	67	7	combines	combine	VERB
ajase-5938	67	8	the	the	DET
ajase-5938	67	9	strengths	strength	NOUN
ajase-5938	67	10	of	of	ADP
ajase-5938	67	11	dimensionality	dimensionality	NOUN
ajase-5938	67	12	reduction	reduction	NOUN
ajase-5938	67	13	(	(	PUNCT
ajase-5938	67	14	spcr	spcr	ADJ
ajase-5938	67	15	)	)	PUNCT
ajase-5938	67	16	with	with	ADP
ajase-5938	67	17	the	the	DET
ajase-5938	67	18	variable	variable	ADJ
ajase-5938	67	19	selection	selection	NOUN
ajase-5938	67	20	and	and	CCONJ
ajase-5938	67	21	regularization	regularization	NOUN
ajase-5938	67	22	capabilities	capability	NOUN
ajase-5938	67	23	of	of	ADP
ajase-5938	67	24	these	these	DET
ajase-5938	67	25	methods	method	NOUN
ajase-5938	67	26	,	,	PUNCT
ajase-5938	67	27	ensuring	ensure	VERB
ajase-5938	67	28	both	both	PRON
ajase-5938	67	29	interpretability	interpretability	NOUN
ajase-5938	67	30	and	and	CCONJ
ajase-5938	67	31	predictive	predictive	ADJ
ajase-5938	67	32	accuracy	accuracy	NOUN
ajase-5938	67	33	.	.	PUNCT
ajase-5938	68	1	step	step	NOUN
ajase-5938	68	2	1	1	NUM
ajase-5938	68	3	:	:	PUNCT
ajase-5938	68	4	dimensionality	dimensionality	NOUN
ajase-5938	68	5	reduction	reduction	NOUN
ajase-5938	68	6	using	use	VERB
ajase-5938	68	7	sparse	sparse	ADJ
ajase-5938	68	8	principal	principal	ADJ
ajase-5938	68	9	component	component	NOUN
ajase-5938	68	10	regression	regression	NOUN
ajase-5938	68	11	(	(	PUNCT
ajase-5938	68	12	spcr	spcr	ADJ
ajase-5938	68	13	)	)	PUNCT
ajase-5938	68	14	workflow	workflow	NOUN
ajase-5938	68	15	compute	compute	NOUN
ajase-5938	68	16	sparse	sparse	ADJ
ajase-5938	68	17	principal	principal	ADJ
ajase-5938	68	18	components	component	NOUN
ajase-5938	68	19	t	t	PROPN
ajase-5938	68	20	=	=	PROPN
ajase-5938	68	21	xw	xw	PROPN
ajase-5938	68	22	by	by	ADP
ajase-5938	68	23	solving	solve	VERB
ajase-5938	68	24	:	:	PUNCT
ajase-5938	68	25	minimize‖y	minimize‖y	VERB
ajase-5938	68	26	-	-	PUNCT
ajase-5938	68	27	xwα‖2	xwα‖2	VERB
ajase-5938	68	28	2+λ1	2+λ1	NUM
ajase-5938	68	29	‖w‖1+λ2	‖w‖1+λ2	PROPN
ajase-5938	68	30	‖w‖f	‖w‖f	NOUN
ajase-5938	68	31	’	'	PUNCT
ajase-5938	68	32	2	2	NUM
ajase-5938	68	33	where	where	SCONJ
ajase-5938	68	34	w	w	NOUN
ajase-5938	68	35	is	be	AUX
ajase-5938	68	36	the	the	DET
ajase-5938	68	37	matrix	matrix	NOUN
ajase-5938	68	38	of	of	ADP
ajase-5938	68	39	sparse	sparse	ADJ
ajase-5938	68	40	component	component	NOUN
ajase-5938	68	41	weights	weight	NOUN
ajase-5938	68	42	,	,	PUNCT
ajase-5938	68	43	α	α	PROPN
ajase-5938	68	44	is	be	AUX
ajase-5938	68	45	the	the	DET
ajase-5938	68	46	regression	regression	NOUN
ajase-5938	68	47	coefficient	coefficient	NOUN
ajase-5938	68	48	vector	vector	NOUN
ajase-5938	68	49	,	,	PUNCT
ajase-5938	68	50	and	and	CCONJ
ajase-5938	68	51	λ1	λ1	ADJ
ajase-5938	68	52	and	and	CCONJ
ajase-5938	68	53	λ2	λ2	NOUN
ajase-5938	68	54	control	control	NOUN
ajase-5938	68	55	sparsity	sparsity	NOUN
ajase-5938	68	56	and	and	CCONJ
ajase-5938	68	57	shrinkage	shrinkage	NOUN
ajase-5938	68	58	.	.	PUNCT
ajase-5938	69	1	i.	i.	PROPN
ajase-5938	69	2	select	select	VERB
ajase-5938	69	3	the	the	DET
ajase-5938	69	4	top	top	ADJ
ajase-5938	69	5	k	k	PROPN
ajase-5938	69	6	components	component	NOUN
ajase-5938	69	7	based	base	VERB
ajase-5938	69	8	on	on	ADP
ajase-5938	69	9	the	the	DET
ajase-5938	69	10	proportion	proportion	NOUN
ajase-5938	69	11	of	of	ADP
ajase-5938	69	12	variance	variance	NOUN
ajase-5938	69	13	explained	explain	VERB
ajase-5938	69	14	and	and	CCONJ
ajase-5938	69	15	their	their	PRON
ajase-5938	69	16	relevance	relevance	NOUN
ajase-5938	69	17	to	to	ADP
ajase-5938	69	18	y.	y.	PROPN
ajase-5938	69	19	ii	ii	PROPN
ajase-5938	69	20	.	.	PUNCT
ajase-5938	70	1	output	output	VERB
ajase-5938	70	2	the	the	DET
ajase-5938	70	3	reduced	reduce	VERB
ajase-5938	70	4	dataset	dataset	VERB
ajase-5938	70	5	t	t	PROPN
ajase-5938	70	6	,	,	PUNCT
ajase-5938	70	7	a	a	DET
ajase-5938	70	8	sparse	sparse	ADJ
ajase-5938	70	9	representation	representation	NOUN
ajase-5938	70	10	of	of	ADP
ajase-5938	70	11	x.	x.	NOUN
ajase-5938	70	12	step	step	NOUN
ajase-5938	70	13	2	2	NUM
ajase-5938	70	14	:	:	PUNCT
ajase-5938	70	15	regularized	regularize	VERB
ajase-5938	70	16	regression	regression	NOUN
ajase-5938	70	17	on	on	ADP
ajase-5938	70	18	reduced	reduced	ADJ
ajase-5938	70	19	components	component	NOUN
ajase-5938	70	20	after	after	ADP
ajase-5938	70	21	dimensionality	dimensionality	NOUN
ajase-5938	70	22	reduction	reduction	NOUN
ajase-5938	70	23	,	,	PUNCT
ajase-5938	70	24	apply	apply	VERB
ajase-5938	70	25	regularized	regularize	VERB
ajase-5938	70	26	regression	regression	NOUN
ajase-5938	70	27	techniques	technique	NOUN
ajase-5938	70	28	(	(	PUNCT
ajase-5938	70	29	ridge	ridge	NOUN
ajase-5938	70	30	,	,	PUNCT
ajase-5938	70	31	lasso	lasso	NOUN
ajase-5938	70	32	,	,	PUNCT
ajase-5938	70	33	elastic	elastic	ADJ
ajase-5938	70	34	net	net	NOUN
ajase-5938	70	35	,	,	PUNCT
ajase-5938	70	36	and	and	CCONJ
ajase-5938	70	37	scad	scad	NOUN
ajase-5938	70	38	)	)	PUNCT
ajase-5938	70	39	to	to	ADP
ajase-5938	70	40	the	the	DET
ajase-5938	70	41	reduced	reduce	VERB
ajase-5938	70	42	dataset	dataset	VERB
ajase-5938	70	43	t	t	NOUN
ajase-5938	70	44	to	to	PART
ajase-5938	70	45	build	build	VERB
ajase-5938	70	46	predictive	predictive	ADJ
ajase-5938	70	47	models	model	NOUN
ajase-5938	70	48	while	while	SCONJ
ajase-5938	70	49	managing	manage	VERB
ajase-5938	70	50	overfitting	overfitting	NOUN
ajase-5938	70	51	and	and	CCONJ
ajase-5938	70	52	multicollinearity	multicollinearity	NOUN
ajase-5938	70	53	.	.	PUNCT
ajase-5938	71	1	this	this	PRON
ajase-5938	71	2	means	mean	VERB
ajase-5938	71	3	that	that	SCONJ
ajase-5938	71	4	the	the	DET
ajase-5938	71	5	resulting	result	VERB
ajase-5938	71	6	equations	equation	NOUN
ajase-5938	71	7	involve	involve	VERB
ajase-5938	71	8	combining	combine	VERB
ajase-5938	71	9	the	the	DET
ajase-5938	71	10	dimensionality	dimensionality	NOUN
ajase-5938	71	11	reduction	reduction	NOUN
ajase-5938	71	12	framework	framework	NOUN
ajase-5938	71	13	with	with	ADP
ajase-5938	71	14	the	the	DET
ajase-5938	71	15	respective	respective	ADJ
ajase-5938	71	16	penalty	penalty	NOUN
ajase-5938	71	17	functions	function	NOUN
ajase-5938	71	18	of	of	ADP
ajase-5938	71	19	the	the	DET
ajase-5938	71	20	chosen	choose	VERB
ajase-5938	71	21	regularization	regularization	NOUN
ajase-5938	71	22	technique	technique	NOUN
ajase-5938	71	23	.	.	PUNCT
ajase-5938	72	1	ridge	ridge	NOUN
ajase-5938	72	2	regression	regression	PROPN
ajase-5938	72	3	with	with	ADP
ajase-5938	72	4	spcr	spcr	ADJ
ajase-5938	72	5	objective	objective	ADJ
ajase-5938	72	6	function	function	NOUN
ajase-5938	72	7	:	:	PUNCT
ajase-5938	73	1	minimize‖y	minimize‖y	NOUN
ajase-5938	73	2	-	-	PUNCT
ajase-5938	73	3	tβ‖2	tβ‖2	NOUN
ajase-5938	73	4	2+λ‖β‖2	2+λ‖β‖2	NOUN
ajase-5938	73	5	2	2	NUM
ajase-5938	73	6	where	where	SCONJ
ajase-5938	73	7	,	,	PUNCT
ajase-5938	73	8	t	t	PROPN
ajase-5938	73	9	=	=	SYM
ajase-5938	73	10	xw	xw	PROPN
ajase-5938	73	11	:	:	PUNCT
ajase-5938	73	12	sparse	sparse	ADJ
ajase-5938	73	13	components	component	NOUN
ajase-5938	73	14	derived	derive	VERB
ajase-5938	73	15	using	use	VERB
ajase-5938	73	16	spcr	spcr	ADJ
ajase-5938	73	17	,	,	PUNCT
ajase-5938	73	18	λ	λ	PROPN
ajase-5938	73	19	:	:	PUNCT
ajase-5938	73	20	regularization	regularization	NOUN
ajase-5938	73	21	parameter	parameter	NOUN
ajase-5938	73	22	controlling	control	VERB
ajase-5938	73	23	the	the	DET
ajase-5938	73	24	degree	degree	NOUN
ajase-5938	73	25	of	of	ADP
ajase-5938	73	26	shrinkage	shrinkage	NOUN
ajase-5938	73	27	.	.	PUNCT
ajase-5938	74	1	β	β	X
ajase-5938	74	2	:	:	PUNCT
ajase-5938	74	3	regression	regression	NOUN
ajase-5938	74	4	coefficients	coefficient	NOUN
ajase-5938	74	5	‖β‖2	‖β‖2	PROPN
ajase-5938	74	6	2	2	NUM
ajase-5938	74	7	:	:	PUNCT
ajase-5938	74	8	l2	l2	NOUN
ajase-5938	74	9	-	-	PUNCT
ajase-5938	74	10	norm	norm	NOUN
ajase-5938	74	11	penalty	penalty	NOUN
ajase-5938	74	12	that	that	PRON
ajase-5938	74	13	shrinks	shrink	VERB
ajase-5938	74	14	all	all	DET
ajase-5938	74	15	coefficients	coefficient	NOUN
ajase-5938	74	16	toward	toward	ADP
ajase-5938	74	17	zero	zero	NUM
ajase-5938	74	18	but	but	CCONJ
ajase-5938	74	19	does	do	AUX
ajase-5938	74	20	not	not	PART
ajase-5938	74	21	enforce	enforce	VERB
ajase-5938	74	22	sparsity	sparsity	NOUN
ajase-5938	74	23	,	,	PUNCT
ajase-5938	74	24	lasso	lasso	NOUN
ajase-5938	74	25	regression	regression	NOUN
ajase-5938	74	26	with	with	ADP
ajase-5938	74	27	spcr	spcr	ADJ
ajase-5938	74	28	objective	objective	ADJ
ajase-5938	74	29	function	function	NOUN
ajase-5938	74	30	:	:	PUNCT
ajase-5938	75	1	minimize‖y	minimize‖y	NOUN
ajase-5938	75	2	-	-	PUNCT
ajase-5938	75	3	tβ‖2	tβ‖2	PROPN
ajase-5938	75	4	2+λ‖β‖1	2+λ‖β‖1	NUM
ajase-5938	75	5	,	,	PUNCT
ajase-5938	75	6	where	where	SCONJ
ajase-5938	75	7	:	:	PUNCT
ajase-5938	75	8	t	t	PROPN
ajase-5938	75	9	=	=	SYM
ajase-5938	75	10	xw	xw	PROPN
ajase-5938	75	11	:	:	PUNCT
ajase-5938	75	12	sparse	sparse	ADJ
ajase-5938	75	13	components	component	NOUN
ajase-5938	75	14	from	from	ADP
ajase-5938	75	15	spcr	spcr	ADJ
ajase-5938	75	16	,	,	PUNCT
ajase-5938	75	17	‖β‖1	‖β‖1	PROPN
ajase-5938	75	18	:	:	PUNCT
ajase-5938	75	19	l1	l1	PROPN
ajase-5938	75	20	-	-	PUNCT
ajase-5938	75	21	norm	norm	NOUN
ajase-5938	75	22	penalty	penalty	NOUN
ajase-5938	75	23	that	that	PRON
ajase-5938	75	24	enforces	enforce	VERB
ajase-5938	75	25	sparsity	sparsity	NOUN
ajase-5938	75	26	by	by	ADP
ajase-5938	75	27	shrinking	shrink	VERB
ajase-5938	75	28	some	some	DET
ajase-5938	75	29	coefficients	coefficient	NOUN
ajase-5938	75	30	to	to	ADP
ajase-5938	75	31	exactly	exactly	ADV
ajase-5938	75	32	zero	zero	NUM
ajase-5938	75	33	,	,	PUNCT
ajase-5938	75	34	lasso	lasso	ADJ
ajase-5938	75	35	regularization	regularization	NOUN
ajase-5938	75	36	enhances	enhance	VERB
ajase-5938	75	37	variable	variable	ADJ
ajase-5938	75	38	selection	selection	NOUN
ajase-5938	75	39	by	by	ADP
ajase-5938	75	40	retaining	retain	VERB
ajase-5938	75	41	only	only	ADV
ajase-5938	75	42	the	the	DET
ajase-5938	75	43	most	most	ADV
ajase-5938	75	44	relevant	relevant	ADJ
ajase-5938	75	45	components	component	NOUN
ajase-5938	75	46	or	or	CCONJ
ajase-5938	75	47	predictors	predictor	NOUN
ajase-5938	75	48	.	.	PUNCT
ajase-5938	76	1	elastic	elastic	ADJ
ajase-5938	76	2	net	net	NOUN
ajase-5938	76	3	with	with	ADP
ajase-5938	76	4	spcr	spcr	ADJ
ajase-5938	76	5	objective	objective	ADJ
ajase-5938	76	6	function	function	NOUN
ajase-5938	76	7	:	:	PUNCT
ajase-5938	76	8	minimize	minimize	VERB
ajase-5938	76	9	‖y	‖y	ADJ
ajase-5938	76	10	-	-	PUNCT
ajase-5938	76	11	tβ‖2	tβ‖2	NOUN
ajase-5938	76	12	2+λ1‖β‖1+λ2‖β‖2	2+λ1‖β‖1+λ2‖β‖2	PROPN
ajase-5938	76	13	2	2	NUM
ajase-5938	76	14	where	where	SCONJ
ajase-5938	76	15	,	,	PUNCT
ajase-5938	76	16	t	t	PROPN
ajase-5938	76	17	=	=	SYM
ajase-5938	76	18	xw	xw	PROPN
ajase-5938	76	19	:	:	PUNCT
ajase-5938	76	20	sparse	sparse	ADJ
ajase-5938	76	21	components	component	NOUN
ajase-5938	76	22	from	from	ADP
ajase-5938	76	23	spcr	spcr	ADJ
ajase-5938	76	24	,	,	PUNCT
ajase-5938	76	25	β	β	X
ajase-5938	76	26	:	:	PUNCT
ajase-5938	76	27	regression	regression	NOUN
ajase-5938	76	28	coefficients	coefficient	NOUN
ajase-5938	76	29	‖β‖1	‖β‖1	NOUN
ajase-5938	76	30	:	:	PUNCT
ajase-5938	76	31	enforces	enforce	VERB
ajase-5938	76	32	sparsity	sparsity	NOUN
ajase-5938	76	33	(	(	PUNCT
ajase-5938	76	34	lasso	lasso	NOUN
ajase-5938	76	35	component	component	NOUN
ajase-5938	76	36	)	)	PUNCT
ajase-5938	76	37	,	,	PUNCT
ajase-5938	76	38	‖β‖2	‖β‖2	NOUN
ajase-5938	76	39	2	2	NUM
ajase-5938	76	40	:	:	PUNCT
ajase-5938	76	41	mitigates	mitigate	VERB
ajase-5938	76	42	multicollinearity	multicollinearity	NOUN
ajase-5938	76	43	and	and	CCONJ
ajase-5938	76	44	provides	provide	VERB
ajase-5938	76	45	stability	stability	NOUN
ajase-5938	76	46	(	(	PUNCT
ajase-5938	76	47	ridge	ridge	NOUN
ajase-5938	76	48	component	component	NOUN
ajase-5938	76	49	)	)	PUNCT
ajase-5938	76	50	,	,	PUNCT
ajase-5938	76	51	λ1	λ1	PROPN
ajase-5938	76	52	:	:	PUNCT
ajase-5938	76	53	controls	control	NOUN
ajase-5938	76	54	sparsity	sparsity	NOUN
ajase-5938	76	55	,	,	PUNCT
ajase-5938	76	56	λ2	λ2	NOUN
ajase-5938	76	57	:	:	PUNCT
ajase-5938	76	58	controls	control	NOUN
ajase-5938	76	59	shrinkage	shrinkage	VERB
ajase-5938	76	60	.	.	PUNCT
ajase-5938	77	1	elastic	elastic	ADJ
ajase-5938	77	2	net	net	NOUN
ajase-5938	77	3	is	be	AUX
ajase-5938	77	4	particularly	particularly	ADV
ajase-5938	77	5	effective	effective	ADJ
ajase-5938	77	6	when	when	SCONJ
ajase-5938	77	7	predictors	predictor	NOUN
ajase-5938	77	8	are	be	AUX
ajase-5938	77	9	highly	highly	ADV
ajase-5938	77	10	correlated	correlate	VERB
ajase-5938	77	11	,	,	PUNCT
ajase-5938	77	12	as	as	SCONJ
ajase-5938	77	13	it	it	PRON
ajase-5938	77	14	selects	select	VERB
ajase-5938	77	15	groups	group	NOUN
ajase-5938	77	16	of	of	ADP
ajase-5938	77	17	correlated	correlate	VERB
ajase-5938	77	18	components	component	NOUN
ajase-5938	77	19	.	.	PUNCT
ajase-5938	78	1	scad	scad	NOUN
ajase-5938	78	2	with	with	ADP
ajase-5938	78	3	spcr	spcr	ADJ
ajase-5938	78	4	objective	objective	ADJ
ajase-5938	78	5	function	function	NOUN
ajase-5938	78	6	:	:	PUNCT
ajase-5938	78	7	minimize‖y	minimize‖y	VERB
ajase-5938	78	8	-	-	ADJ
ajase-5938	78	9	tβ‖2	tβ‖2	ADJ
ajase-5938	78	10	2+∑j=1	2+∑j=1	NUM
ajase-5938	78	11	ppλ	ppλ	X
ajase-5938	78	12	(	(	PUNCT
ajase-5938	78	13	|βj|	|βj|	PROPN
ajase-5938	78	14	)	)	PUNCT
ajase-5938	78	15	,	,	PUNCT
ajase-5938	78	16	where	where	SCONJ
ajase-5938	78	17	,	,	PUNCT
ajase-5938	78	18	t	t	PROPN
ajase-5938	78	19	=	=	SYM
ajase-5938	78	20	xw	xw	PROPN
ajase-5938	78	21	:	:	PUNCT
ajase-5938	78	22	sparse	sparse	ADJ
ajase-5938	78	23	components	component	NOUN
ajase-5938	78	24	from	from	ADP
ajase-5938	78	25	spcr	spcr	ADJ
ajase-5938	78	26	,	,	PUNCT
ajase-5938	78	27	β	β	X
ajase-5938	78	28	:	:	PUNCT
ajase-5938	78	29	regression	regression	NOUN
ajase-5938	78	30	coefficients	coefficient	NOUN
ajase-5938	78	31	pλ	pλ	PROPN
ajase-5938	78	32	(	(	PUNCT
ajase-5938	78	33	|βj|	|βj|	ADJ
ajase-5938	78	34	)	)	PUNCT
ajase-5938	78	35	is	be	AUX
ajase-5938	78	36	the	the	DET
ajase-5938	78	37	scad	scad	NOUN
ajase-5938	78	38	penalty	penalty	NOUN
ajase-5938	78	39	function	function	NOUN
ajase-5938	78	40	,	,	PUNCT
ajase-5938	78	41	λ	λ	PROPN
ajase-5938	78	42	controls	control	VERB
ajase-5938	78	43	the	the	DET
ajase-5938	78	44	penalty	penalty	NOUN
ajase-5938	78	45	’s	’s	PART
ajase-5938	78	46	strength	strength	NOUN
ajase-5938	78	47	.	.	PUNCT
ajase-5938	79	1	advantages	advantage	NOUN
ajase-5938	79	2	of	of	ADP
ajase-5938	79	3	combining	combine	VERB
ajase-5938	79	4	regularization	regularization	NOUN
ajase-5938	79	5	with	with	ADP
ajase-5938	79	6	spcr	spcr	ADJ
ajase-5938	79	7	i.	i.	NOUN
ajase-5938	79	8	spcr	spcr	ADJ
ajase-5938	79	9	reduces	reduce	VERB
ajase-5938	79	10	dimensionality	dimensionality	NOUN
ajase-5938	79	11	while	while	SCONJ
ajase-5938	79	12	ridge	ridge	NOUN
ajase-5938	79	13	or	or	CCONJ
ajase-5938	79	14	lasso	lasso	NOUN
ajase-5938	79	15	enhances	enhance	VERB
ajase-5938	79	16	the	the	DET
ajase-5938	79	17	predictive	predictive	ADJ
ajase-5938	79	18	power	power	NOUN
ajase-5938	79	19	by	by	ADP
ajase-5938	79	20	handling	handle	VERB
ajase-5938	79	21	multicollinearity	multicollinearity	NOUN
ajase-5938	79	22	or	or	CCONJ
ajase-5938	79	23	enforcing	enforce	VERB
ajase-5938	79	24	sparsity	sparsity	NOUN
ajase-5938	79	25	.	.	PUNCT
ajase-5938	80	1	ii	ii	PROPN
ajase-5938	80	2	.	.	PROPN
ajase-5938	80	3	scad	scad	PROPN
ajase-5938	80	4	further	far	ADV
ajase-5938	80	5	refines	refine	VERB
ajase-5938	80	6	the	the	DET
ajase-5938	80	7	predictor	predictor	NOUN
ajase-5938	80	8	selection	selection	NOUN
ajase-5938	80	9	process	process	NOUN
ajase-5938	80	10	,	,	PUNCT
ajase-5938	80	11	reducing	reduce	VERB
ajase-5938	80	12	bias	bias	NOUN
ajase-5938	80	13	for	for	ADP
ajase-5938	80	14	large	large	ADJ
ajase-5938	80	15	coefficients	coefficient	NOUN
ajase-5938	80	16	while	while	SCONJ
ajase-5938	80	17	retaining	retain	VERB
ajase-5938	80	18	sparse	sparse	ADJ
ajase-5938	80	19	predictors	predictor	NOUN
ajase-5938	80	20	.	.	PUNCT
ajase-5938	81	1	simulation	simulation	NOUN
ajase-5938	81	2	study	study	VERB
ajase-5938	81	3	the	the	DET
ajase-5938	81	4	simulation	simulation	NOUN
ajase-5938	81	5	study	study	NOUN
ajase-5938	81	6	aims	aim	VERB
ajase-5938	81	7	to	to	PART
ajase-5938	81	8	evaluate	evaluate	VERB
ajase-5938	81	9	and	and	CCONJ
ajase-5938	81	10	compare	compare	VERB
ajase-5938	81	11	the	the	DET
ajase-5938	81	12	performance	performance	NOUN
ajase-5938	81	13	of	of	ADP
ajase-5938	81	14	sparse	sparse	ADJ
ajase-5938	81	15	learning	learning	NOUN
ajase-5938	81	16	methods	method	NOUN
ajase-5938	81	17	(	(	PUNCT
ajase-5938	81	18	lasso	lasso	NOUN
ajase-5938	81	19	,	,	PUNCT
ajase-5938	81	20	ridge	ridge	NOUN
ajase-5938	81	21	,	,	PUNCT
ajase-5938	81	22	elastic	elastic	ADJ
ajase-5938	81	23	net	net	NOUN
ajase-5938	81	24	,	,	PUNCT
ajase-5938	81	25	scad	scad	NOUN
ajase-5938	81	26	,	,	PUNCT
ajase-5938	81	27	and	and	CCONJ
ajase-5938	81	28	spcr	spcr	ADJ
ajase-5938	81	29	)	)	PUNCT
ajase-5938	81	30	under	under	ADP
ajase-5938	81	31	controlled	control	VERB
ajase-5938	81	32	and	and	CCONJ
ajase-5938	81	33	varied	varied	ADJ
ajase-5938	81	34	conditions	condition	NOUN
ajase-5938	81	35	.	.	PUNCT
ajase-5938	82	1	this	this	DET
ajase-5938	82	2	study	study	NOUN
ajase-5938	82	3	focuses	focus	VERB
ajase-5938	82	4	on	on	ADP
ajase-5938	82	5	predictive	predictive	ADJ
ajase-5938	82	6	accuracy	accuracy	NOUN
ajase-5938	82	7	,	,	PUNCT
ajase-5938	82	8	interpretability	interpretability	NOUN
ajase-5938	82	9	,	,	PUNCT
ajase-5938	82	10	and	and	CCONJ
ajase-5938	82	11	computational	computational	ADJ
ajase-5938	82	12	efficiency	efficiency	NOUN
ajase-5938	82	13	,	,	PUNCT
ajase-5938	82	14	providing	provide	VERB
ajase-5938	82	15	insights	insight	NOUN
ajase-5938	82	16	into	into	ADP
ajase-5938	82	17	the	the	DET
ajase-5938	82	18	strengths	strength	NOUN
ajase-5938	82	19	and	and	CCONJ
ajase-5938	82	20	weaknesses	weakness	NOUN
ajase-5938	82	21	of	of	ADP
ajase-5938	82	22	these	these	DET
ajase-5938	82	23	methods	method	NOUN
ajase-5938	82	24	in	in	ADP
ajase-5938	82	25	high	high	ADJ
ajase-5938	82	26	-	-	PUNCT
ajase-5938	82	27	dimensional	dimensional	ADJ
ajase-5938	82	28	settings	setting	NOUN
ajase-5938	82	29	.	.	PUNCT
ajase-5938	83	1	the	the	DET
ajase-5938	83	2	following	follow	VERB
ajase-5938	83	3	sections	section	NOUN
ajase-5938	83	4	detail	detail	VERB
ajase-5938	83	5	the	the	DET
ajase-5938	83	6	design	design	NOUN
ajase-5938	83	7	,	,	PUNCT
ajase-5938	83	8	dataset	dataset	NOUN
ajase-5938	83	9	characteristics	characteristic	NOUN
ajase-5938	83	10	,	,	PUNCT
ajase-5938	83	11	evaluation	evaluation	NOUN
ajase-5938	83	12	metrics	metric	NOUN
ajase-5938	83	13	,	,	PUNCT
ajase-5938	83	14	comparative	comparative	ADJ
ajase-5938	83	15	testing	testing	NOUN
ajase-5938	83	16	procedures	procedure	NOUN
ajase-5938	83	17	,	,	PUNCT
ajase-5938	83	18	and	and	CCONJ
ajase-5938	83	19	the	the	DET
ajase-5938	83	20	approach	approach	NOUN
ajase-5938	83	21	for	for	ADP
ajase-5938	83	22	data	datum	NOUN
ajase-5938	83	23	analysis	analysis	NOUN
ajase-5938	83	24	and	and	CCONJ
ajase-5938	83	25	interpretation	interpretation	NOUN
ajase-5938	83	26	design	design	NOUN
ajase-5938	83	27	of	of	ADP
ajase-5938	83	28	the	the	DET
ajase-5938	83	29	simulation	simulation	NOUN
ajase-5938	83	30	study	study	VERB
ajase-5938	83	31	the	the	DET
ajase-5938	83	32	simulation	simulation	NOUN
ajase-5938	83	33	study	study	NOUN
ajase-5938	83	34	replicates	replicate	VERB
ajase-5938	83	35	real	real	ADJ
ajase-5938	83	36	-	-	PUNCT
ajase-5938	83	37	world	world	NOUN
ajase-5938	83	38	challenges	challenge	NOUN
ajase-5938	83	39	by	by	ADP
ajase-5938	83	40	systematically	systematically	ADV
ajase-5938	83	41	varying	vary	VERB
ajase-5938	83	42	key	key	ADJ
ajase-5938	83	43	parameters	parameter	NOUN
ajase-5938	83	44	:	:	PUNCT
ajase-5938	83	45	sample	sample	NOUN
ajase-5938	83	46	size	size	NOUN
ajase-5938	83	47	,	,	PUNCT
ajase-5938	83	48	predictor	predictor	NOUN
ajase-5938	83	49	dimensionality	dimensionality	NOUN
ajase-5938	83	50	,	,	PUNCT
ajase-5938	83	51	levels	level	NOUN
ajase-5938	83	52	of	of	ADP
ajase-5938	83	53	multicollinearity	multicollinearity	NOUN
ajase-5938	83	54	,	,	PUNCT
ajase-5938	83	55	noise	noise	NOUN
ajase-5938	83	56	,	,	PUNCT
ajase-5938	83	57	and	and	CCONJ
ajase-5938	83	58	sparsity	sparsity	NOUN
ajase-5938	83	59	.	.	PUNCT
ajase-5938	84	1	these	these	DET
ajase-5938	84	2	variations	variation	NOUN
ajase-5938	84	3	ensure	ensure	VERB
ajase-5938	84	4	a	a	DET
ajase-5938	84	5	comprehensive	comprehensive	ADJ
ajase-5938	84	6	evaluation	evaluation	NOUN
ajase-5938	84	7	of	of	ADP
ajase-5938	84	8	the	the	DET
ajase-5938	84	9	methods	method	NOUN
ajase-5938	84	10	’	'	PUNCT
ajase-5938	84	11	performance	performance	NOUN
ajase-5938	84	12	across	across	ADP
ajase-5938	84	13	diverse	diverse	ADJ
ajase-5938	84	14	conditions	condition	NOUN
ajase-5938	84	15	,	,	PUNCT
ajase-5938	84	16	reflecting	reflect	VERB
ajase-5938	84	17	practical	practical	ADJ
ajase-5938	84	18	scenarios	scenario	NOUN
ajase-5938	84	19	in	in	ADP
ajase-5938	84	20	highdimensional	highdimensional	ADJ
ajase-5938	84	21	data	datum	NOUN
ajase-5938	84	22	analysis	analysis	NOUN
ajase-5938	84	23	.	.	PUNCT
ajase-5938	85	1	sample	sample	NOUN
ajase-5938	85	2	sizes	size	VERB
ajase-5938	85	3	four	four	NUM
ajase-5938	85	4	small	small	ADJ
ajase-5938	85	5	sample	sample	NOUN
ajase-5938	85	6	scenarios	scenario	NOUN
ajase-5938	85	7	are	be	AUX
ajase-5938	85	8	considered	consider	VERB
ajase-5938	85	9	:	:	PUNCT
ajase-5938	85	10	n=30	n=30	ADV
ajase-5938	85	11	,	,	PUNCT
ajase-5938	85	12	n=50	n=50	ADJ
ajase-5938	85	13	,	,	PUNCT
ajase-5938	85	14	n=70	n=70	PROPN
ajase-5938	85	15	and	and	CCONJ
ajase-5938	85	16	n=100	n=100	PROPN
ajase-5938	85	17	.	.	PUNCT
ajase-5938	86	1	the	the	DET
ajase-5938	86	2	small	small	ADJ
ajase-5938	86	3	sample	sample	NOUN
ajase-5938	86	4	sizes	size	NOUN
ajase-5938	86	5	(	(	PUNCT
ajase-5938	86	6	n=30	n=30	NOUN
ajase-5938	86	7	and	and	CCONJ
ajase-5938	86	8	n=50	n=50	ADJ
ajase-5938	86	9	)	)	PUNCT
ajase-5938	86	10	represent	represent	VERB
ajase-5938	86	11	the	the	DET
ajase-5938	86	12	most	most	ADV
ajase-5938	86	13	challenging	challenging	ADJ
ajase-5938	86	14	setting	set	VERB
ajase-5938	86	15	where	where	SCONJ
ajase-5938	86	16	predictors	predictor	NOUN
ajase-5938	86	17	(	(	PUNCT
ajase-5938	86	18	p	p	X
ajase-5938	86	19	)	)	PUNCT
ajase-5938	86	20	far	far	ADV
ajase-5938	86	21	exceed	exceed	VERB
ajase-5938	86	22	observations	observation	NOUN
ajase-5938	86	23	(	(	PUNCT
ajase-5938	86	24	p	p	X
ajase-5938	86	25	>	>	X
ajase-5938	86	26	n	n	CCONJ
ajase-5938	86	27	)	)	PUNCT
ajase-5938	86	28	,	,	PUNCT
ajase-5938	86	29	crucial	crucial	ADJ
ajase-5938	86	30	for	for	ADP
ajase-5938	86	31	assessing	assess	VERB
ajase-5938	86	32	the	the	DET
ajase-5938	86	33	methods	method	NOUN
ajase-5938	86	34	’	'	PUNCT
ajase-5938	86	35	ability	ability	NOUN
ajase-5938	86	36	to	to	PART
ajase-5938	86	37	avoid	avoid	VERB
ajase-5938	86	38	overfitting	overfitte	VERB
ajase-5938	86	39	.	.	PUNCT
ajase-5938	87	1	while	while	SCONJ
ajase-5938	87	2	higher	high	ADJ
ajase-5938	87	3	small	small	ADJ
ajase-5938	87	4	sample	sample	NOUN
ajase-5938	87	5	sizes	size	NOUN
ajase-5938	87	6	(	(	PUNCT
ajase-5938	87	7	i.e.	i.e.	X
ajase-5938	87	8	n=70	n=70	PROPN
ajase-5938	87	9	and	and	CCONJ
ajase-5938	87	10	n=100	n=100	NUM
ajase-5938	87	11	)	)	PUNCT
ajase-5938	87	12	explore	explore	VERB
ajase-5938	87	13	scalability	scalability	NOUN
ajase-5938	87	14	and	and	CCONJ
ajase-5938	87	15	performance	performance	NOUN
ajase-5938	87	16	in	in	ADP
ajase-5938	87	17	more	more	ADV
ajase-5938	87	18	balanced	balanced	ADJ
ajase-5938	87	19	or	or	CCONJ
ajase-5938	87	20	lowdimensional	lowdimensional	ADJ
ajase-5938	87	21	settings	setting	NOUN
ajase-5938	87	22	.	.	PUNCT
ajase-5938	88	1	predictor	predictor	NOUN
ajase-5938	88	2	dimensionality	dimensionality	NOUN
ajase-5938	88	3	predictor	predictor	NOUN
ajase-5938	88	4	dimensionality	dimensionality	NOUN
ajase-5938	88	5	(	(	PUNCT
ajase-5938	88	6	p	p	NOUN
ajase-5938	88	7	)	)	PUNCT
ajase-5938	88	8	varies	vary	VERB
ajase-5938	88	9	from	from	ADP
ajase-5938	88	10	low	low	ADJ
ajase-5938	88	11	(	(	PUNCT
ajase-5938	88	12	p=20	p=20	PROPN
ajase-5938	88	13	)	)	PUNCT
ajase-5938	88	14	to	to	AUX
ajase-5938	88	15	high	high	ADJ
ajase-5938	88	16	(	(	PUNCT
ajase-5938	88	17	p=200	p=200	PROPN
ajase-5938	88	18	)	)	PUNCT
ajase-5938	88	19	.	.	PUNCT
ajase-5938	89	1	low	low	ADJ
ajase-5938	89	2	-	-	PUNCT
ajase-5938	89	3	dimensional	dimensional	ADJ
ajase-5938	89	4	scenarios	scenario	NOUN
ajase-5938	89	5	allow	allow	VERB
ajase-5938	89	6	methods	method	NOUN
ajase-5938	89	7	to	to	PART
ajase-5938	89	8	demonstrate	demonstrate	VERB
ajase-5938	89	9	baseline	baseline	VERB
ajase-5938	89	10	predictive	predictive	ADJ
ajase-5938	89	11	capabilities	capability	NOUN
ajase-5938	89	12	pa	pa	PROPN
ajase-5938	89	13	ge	ge	PROPN
ajase-5938	89	14	13	13	NUM
ajase-5938	89	15	0	0	NUM
ajase-5938	90	1	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5938	90	2	am	am	NOUN
ajase-5938	90	3	.	.	PUNCT
ajase-5938	91	1	j.	j.	PROPN
ajase-5938	91	2	appl	appl	PROPN
ajase-5938	91	3	.	.	PROPN
ajase-5938	92	1	stat	stat	PROPN
ajase-5938	92	2	.	.	PUNCT
ajase-5938	93	1	econ	econ	PROPN
ajase-5938	93	2	.	.	PUNCT
ajase-5938	94	1	4(1	4(1	X
ajase-5938	94	2	)	)	PUNCT
ajase-5938	95	1	127	127	NUM
ajase-5938	95	2	-	-	SYM
ajase-5938	95	3	140	140	NUM
ajase-5938	95	4	,	,	PUNCT
ajase-5938	95	5	2025	2025	NUM
ajase-5938	95	6	without	without	ADP
ajase-5938	95	7	dimensionality	dimensionality	NOUN
ajase-5938	95	8	-	-	PUNCT
ajase-5938	95	9	related	relate	VERB
ajase-5938	95	10	challenges	challenge	NOUN
ajase-5938	95	11	.	.	PUNCT
ajase-5938	96	1	moderate	moderate	ADJ
ajase-5938	96	2	and	and	CCONJ
ajase-5938	96	3	high	high	ADJ
ajase-5938	96	4	-	-	PUNCT
ajase-5938	96	5	dimensional	dimensional	ADJ
ajase-5938	96	6	settings	setting	NOUN
ajase-5938	96	7	introduce	introduce	VERB
ajase-5938	96	8	significant	significant	ADJ
ajase-5938	96	9	computational	computational	ADJ
ajase-5938	96	10	and	and	CCONJ
ajase-5938	96	11	statistical	statistical	ADJ
ajase-5938	96	12	challenges	challenge	NOUN
ajase-5938	96	13	,	,	PUNCT
ajase-5938	96	14	such	such	ADJ
ajase-5938	96	15	as	as	ADP
ajase-5938	96	16	sparsity	sparsity	NOUN
ajase-5938	96	17	and	and	CCONJ
ajase-5938	96	18	multicollinearity	multicollinearity	NOUN
ajase-5938	96	19	.	.	PUNCT
ajase-5938	97	1	multicollinearity	multicollinearity	NOUN
ajase-5938	97	2	multicollinearity	multicollinearity	NOUN
ajase-5938	97	3	is	be	AUX
ajase-5938	97	4	varied	varied	ADJ
ajase-5938	97	5	at	at	ADP
ajase-5938	97	6	four	four	NUM
ajase-5938	97	7	levels	level	NOUN
ajase-5938	97	8	:	:	PUNCT
ajase-5938	97	9	low	low	ADJ
ajase-5938	97	10	(	(	PUNCT
ajase-5938	97	11	ρ~0.1	ρ~0.1	ADJ
ajase-5938	97	12	):	):	PUNCT
ajase-5938	97	13	predictors	predictor	NOUN
ajase-5938	97	14	are	be	AUX
ajase-5938	97	15	weakly	weakly	ADV
ajase-5938	97	16	correlated	correlate	VERB
ajase-5938	97	17	,	,	PUNCT
ajase-5938	97	18	minimizing	minimize	VERB
ajase-5938	97	19	interference	interference	NOUN
ajase-5938	97	20	among	among	ADP
ajase-5938	97	21	variables	variable	NOUN
ajase-5938	97	22	.	.	PUNCT
ajase-5938	98	1	moderate	moderate	ADJ
ajase-5938	98	2	(	(	PUNCT
ajase-5938	98	3	ρ~0.5	ρ~0.5	NOUN
ajase-5938	98	4	):	):	PUNCT
ajase-5938	98	5	predictors	predictor	NOUN
ajase-5938	98	6	form	form	VERB
ajase-5938	98	7	correlated	correlate	VERB
ajase-5938	98	8	blocks	block	NOUN
ajase-5938	98	9	,	,	PUNCT
ajase-5938	98	10	testing	testing	NOUN
ajase-5938	98	11	methods	method	NOUN
ajase-5938	98	12	like	like	ADP
ajase-5938	98	13	elastic	elastic	ADJ
ajase-5938	98	14	net	net	NOUN
ajase-5938	98	15	and	and	CCONJ
ajase-5938	98	16	sprc	sprc	AUX
ajase-5938	98	17	designed	design	VERB
ajase-5938	98	18	to	to	PART
ajase-5938	98	19	handle	handle	VERB
ajase-5938	98	20	such	such	ADJ
ajase-5938	98	21	scenarios	scenario	NOUN
ajase-5938	98	22	.	.	PUNCT
ajase-5938	99	1	high	high	ADJ
ajase-5938	99	2	(	(	PUNCT
ajase-5938	99	3	ρ~0.9	ρ~0.9	NOUN
ajase-5938	99	4	):	):	PUNCT
ajase-5938	99	5	many	many	ADJ
ajase-5938	99	6	predictors	predictor	NOUN
ajase-5938	99	7	are	be	AUX
ajase-5938	99	8	extremely	extremely	ADV
ajase-5938	99	9	interrelated	interrelated	ADJ
ajase-5938	99	10	,	,	PUNCT
ajase-5938	99	11	challenging	challenging	ADJ
ajase-5938	99	12	methods	method	NOUN
ajase-5938	99	13	like	like	ADP
ajase-5938	99	14	lasso	lasso	NOUN
ajase-5938	99	15	,	,	PUNCT
ajase-5938	99	16	which	which	PRON
ajase-5938	99	17	may	may	AUX
ajase-5938	99	18	arbitrarily	arbitrarily	ADV
ajase-5938	99	19	select	select	VERB
ajase-5938	99	20	variables	variable	NOUN
ajase-5938	99	21	from	from	ADP
ajase-5938	99	22	correlated	correlate	VERB
ajase-5938	99	23	groups	group	NOUN
ajase-5938	99	24	.	.	PUNCT
ajase-5938	100	1	sparsity	sparsity	NOUN
ajase-5938	100	2	predictor	predictor	NOUN
ajase-5938	100	3	sparsity	sparsity	NOUN
ajase-5938	100	4	is	be	AUX
ajase-5938	100	5	varied	varied	ADJ
ajase-5938	100	6	to	to	PART
ajase-5938	100	7	test	test	VERB
ajase-5938	100	8	variable	variable	ADJ
ajase-5938	100	9	selection	selection	NOUN
ajase-5938	100	10	capabilities	capability	NOUN
ajase-5938	100	11	:	:	PUNCT
ajase-5938	100	12	•	•	NOUN
ajase-5938	100	13	sparse	sparse	ADJ
ajase-5938	100	14	(	(	PUNCT
ajase-5938	100	15	10	10	NUM
ajase-5938	100	16	%	%	NOUN
ajase-5938	100	17	non	non	ADJ
ajase-5938	100	18	-	-	ADJ
ajase-5938	100	19	zero	zero	NUM
ajase-5938	100	20	coefficients	coefficient	NOUN
ajase-5938	100	21	):	):	PUNCT
ajase-5938	100	22	only	only	ADV
ajase-5938	100	23	a	a	DET
ajase-5938	100	24	small	small	ADJ
ajase-5938	100	25	fraction	fraction	NOUN
ajase-5938	100	26	of	of	ADP
ajase-5938	100	27	predictors	predictor	NOUN
ajase-5938	100	28	are	be	AUX
ajase-5938	100	29	relevant	relevant	ADJ
ajase-5938	100	30	,	,	PUNCT
ajase-5938	100	31	providing	provide	VERB
ajase-5938	100	32	a	a	DET
ajase-5938	100	33	benchmark	benchmark	NOUN
ajase-5938	100	34	for	for	ADP
ajase-5938	100	35	variable	variable	ADJ
ajase-5938	100	36	selection	selection	NOUN
ajase-5938	100	37	.	.	PUNCT
ajase-5938	101	1	•	•	NUM
ajase-5938	101	2	dense	dense	ADJ
ajase-5938	101	3	(	(	PUNCT
ajase-5938	101	4	30	30	NUM
ajase-5938	101	5	%	%	NOUN
ajase-5938	101	6	non	non	ADJ
ajase-5938	101	7	-	-	ADJ
ajase-5938	101	8	zero	zero	NUM
ajase-5938	101	9	coefficients	coefficient	NOUN
ajase-5938	101	10	):	):	PUNCT
ajase-5938	101	11	many	many	ADJ
ajase-5938	101	12	predictors	predictor	NOUN
ajase-5938	101	13	have	have	VERB
ajase-5938	101	14	small	small	ADJ
ajase-5938	101	15	,	,	PUNCT
ajase-5938	101	16	non	non	ADJ
ajase-5938	101	17	-	-	ADJ
ajase-5938	101	18	zero	zero	NUM
ajase-5938	101	19	effects	effect	NOUN
ajase-5938	101	20	,	,	PUNCT
ajase-5938	101	21	testing	test	VERB
ajase-5938	101	22	the	the	DET
ajase-5938	101	23	methods	method	NOUN
ajase-5938	101	24	’	'	PUNCT
ajase-5938	101	25	capacity	capacity	NOUN
ajase-5938	101	26	to	to	PART
ajase-5938	101	27	identify	identify	VERB
ajase-5938	101	28	subtle	subtle	ADJ
ajase-5938	101	29	contributions	contribution	NOUN
ajase-5938	101	30	.	.	PUNCT
ajase-5938	102	1	data	datum	NOUN
ajase-5938	102	2	generation	generation	NOUN
ajase-5938	102	3	process	process	NOUN
ajase-5938	102	4	the	the	DET
ajase-5938	102	5	data	datum	NOUN
ajase-5938	102	6	is	be	AUX
ajase-5938	102	7	generated	generate	VERB
ajase-5938	102	8	as	as	ADP
ajase-5938	102	9	:	:	PUNCT
ajase-5938	102	10	y	y	PROPN
ajase-5938	102	11	=	=	PUNCT
ajase-5938	102	12	xβ+ϵ	xβ+ϵ	PROPN
ajase-5938	103	1	where	where	SCONJ
ajase-5938	103	2	:	:	PUNCT
ajase-5938	103	3	x	x	SYM
ajase-5938	103	4	~	~	X
ajase-5938	103	5	n(0,σ	n(0,σ	NOUN
ajase-5938	103	6	)	)	PUNCT
ajase-5938	103	7	,	,	PUNCT
ajase-5938	103	8	with	with	ADP
ajase-5938	103	9	σij	σij	NOUN
ajase-5938	103	10	=	=	SYM
ajase-5938	103	11	ρ	ρ	NOUN
ajase-5938	103	12	for	for	ADP
ajase-5938	103	13	i≠j	i≠j	NOUN
ajase-5938	103	14	)	)	PUNCT
ajase-5938	103	15	,	,	PUNCT
ajase-5938	103	16	controlling	control	VERB
ajase-5938	103	17	the	the	DET
ajase-5938	103	18	level	level	NOUN
ajase-5938	103	19	of	of	ADP
ajase-5938	103	20	multicollinearity	multicollinearity	NOUN
ajase-5938	103	21	β	β	X
ajase-5938	103	22	is	be	AUX
ajase-5938	103	23	a	a	DET
ajase-5938	103	24	sparse	sparse	ADJ
ajase-5938	103	25	vector	vector	NOUN
ajase-5938	103	26	with	with	ADP
ajase-5938	103	27	randomly	randomly	ADV
ajase-5938	103	28	assigned	assign	VERB
ajase-5938	103	29	non	non	ADJ
ajase-5938	103	30	-	-	ADJ
ajase-5938	103	31	zero	zero	NUM
ajase-5938	103	32	coefficients	coefficient	NOUN
ajase-5938	103	33	drawn	draw	VERB
ajase-5938	103	34	from	from	ADP
ajase-5938	103	35	n(0,1	n(0,1	NOUN
ajase-5938	103	36	)	)	PUNCT
ajase-5938	103	37	,	,	PUNCT
ajase-5938	103	38	∈~n(0,σ2	∈~n(0,σ2	VERB
ajase-5938	103	39	)	)	PUNCT
ajase-5938	104	1	is	be	AUX
ajase-5938	104	2	gaussian	gaussian	ADJ
ajase-5938	104	3	noise	noise	NOUN
ajase-5938	104	4	adjusted	adjust	VERB
ajase-5938	104	5	to	to	PART
ajase-5938	104	6	achieve	achieve	VERB
ajase-5938	104	7	desired	desire	VERB
ajase-5938	104	8	r2	r2	NOUN
ajase-5938	104	9	.	.	PUNCT
ajase-5938	105	1	evaluation	evaluation	NOUN
ajase-5938	105	2	metrics	metric	NOUN
ajase-5938	105	3	performance	performance	NOUN
ajase-5938	105	4	will	will	AUX
ajase-5938	105	5	be	be	AUX
ajase-5938	105	6	assessed	assess	VERB
ajase-5938	105	7	using	use	VERB
ajase-5938	105	8	the	the	DET
ajase-5938	105	9	following	follow	VERB
ajase-5938	105	10	metrics	metric	NOUN
ajase-5938	105	11	mean	mean	VERB
ajase-5938	105	12	squared	square	VERB
ajase-5938	105	13	error	error	NOUN
ajase-5938	105	14	(	(	PUNCT
ajase-5938	105	15	mse	mse	NOUN
ajase-5938	105	16	)	)	PUNCT
ajase-5938	105	17	mse	mse	NOUN
ajase-5938	105	18	measures	measure	VERB
ajase-5938	105	19	the	the	DET
ajase-5938	105	20	average	average	ADJ
ajase-5938	105	21	magnitude	magnitude	NOUN
ajase-5938	105	22	of	of	ADP
ajase-5938	105	23	the	the	DET
ajase-5938	105	24	errors	error	NOUN
ajase-5938	105	25	in	in	ADP
ajase-5938	105	26	the	the	DET
ajase-5938	105	27	predicted	predict	VERB
ajase-5938	105	28	values	value	NOUN
ajase-5938	105	29	.	.	PUNCT
ajase-5938	106	1	it	it	PRON
ajase-5938	106	2	is	be	AUX
ajase-5938	106	3	often	often	ADV
ajase-5938	106	4	preferred	prefer	VERB
ajase-5938	106	5	over	over	ADP
ajase-5938	106	6	mse	mse	NOUN
ajase-5938	106	7	as	as	SCONJ
ajase-5938	106	8	it	it	PRON
ajase-5938	106	9	is	be	AUX
ajase-5938	106	10	in	in	ADP
ajase-5938	106	11	the	the	DET
ajase-5938	106	12	same	same	ADJ
ajase-5938	106	13	units	unit	NOUN
ajase-5938	106	14	as	as	ADP
ajase-5938	106	15	the	the	DET
ajase-5938	106	16	response	response	NOUN
ajase-5938	106	17	variable	variable	NOUN
ajase-5938	106	18	,	,	PUNCT
ajase-5938	106	19	making	make	VERB
ajase-5938	106	20	it	it	PRON
ajase-5938	106	21	easier	easy	ADJ
ajase-5938	106	22	to	to	PART
ajase-5938	106	23	interpret	interpret	VERB
ajase-5938	106	24	.	.	PUNCT
ajase-5938	107	1	the	the	DET
ajase-5938	107	2	formula	formula	NOUN
ajase-5938	107	3	for	for	ADP
ajase-5938	107	4	mse	mse	NOUN
ajase-5938	107	5	is	be	AUX
ajase-5938	107	6	:	:	PUNCT
ajase-5938	107	7	mse=1	mse=1	PROPN
ajase-5938	107	8	/	/	SYM
ajase-5938	107	9	n	n	PROPN
ajase-5938	107	10	∑i=1	∑i=1	PROPN
ajase-5938	107	11	n(yi	n(yi	PROPN
ajase-5938	107	12	-	-	PUNCT
ajase-5938	107	13	y^i	y^i	NOUN
ajase-5938	107	14	)	)	PUNCT
ajase-5938	107	15	2	2	NUM
ajase-5938	107	16	the	the	DET
ajase-5938	107	17	estimation	estimation	NOUN
ajase-5938	107	18	model	model	NOUN
ajase-5938	107	19	with	with	ADP
ajase-5938	107	20	lowest	low	ADJ
ajase-5938	107	21	mse	mse	NOUN
ajase-5938	107	22	would	would	AUX
ajase-5938	107	23	be	be	AUX
ajase-5938	107	24	considered	consider	VERB
ajase-5938	107	25	the	the	DET
ajase-5938	107	26	best	good	ADJ
ajase-5938	107	27	.	.	PUNCT
ajase-5938	108	1	afterwards	afterwards	ADV
ajase-5938	108	2	,	,	PUNCT
ajase-5938	108	3	the	the	DET
ajase-5938	108	4	r	r	NOUN
ajase-5938	108	5	-	-	PUNCT
ajase-5938	108	6	squared	square	VERB
ajase-5938	108	7	of	of	ADP
ajase-5938	108	8	the	the	DET
ajase-5938	108	9	returned	return	VERB
ajase-5938	108	10	best	good	ADJ
ajase-5938	108	11	model	model	NOUN
ajase-5938	108	12	would	would	AUX
ajase-5938	108	13	be	be	AUX
ajase-5938	108	14	assessed	assess	VERB
ajase-5938	108	15	.	.	PUNCT
ajase-5938	109	1	r	r	X
ajase-5938	109	2	-	-	PUNCT
ajase-5938	109	3	squared	square	VERB
ajase-5938	109	4	(	(	PUNCT
ajase-5938	109	5	r2	r2	PROPN
ajase-5938	109	6	)	)	PUNCT
ajase-5938	109	7	indicates	indicate	VERB
ajase-5938	109	8	the	the	DET
ajase-5938	109	9	proportion	proportion	NOUN
ajase-5938	109	10	of	of	ADP
ajase-5938	109	11	variance	variance	NOUN
ajase-5938	109	12	explained	explain	VERB
ajase-5938	109	13	by	by	ADP
ajase-5938	109	14	the	the	DET
ajase-5938	109	15	predictors	predictor	NOUN
ajase-5938	109	16	,	,	PUNCT
ajase-5938	109	17	with	with	ADP
ajase-5938	109	18	higher	high	ADJ
ajase-5938	109	19	values	value	NOUN
ajase-5938	109	20	representing	represent	VERB
ajase-5938	109	21	better	well	ADJ
ajase-5938	109	22	model	model	NOUN
ajase-5938	109	23	fit	fit	NOUN
ajase-5938	109	24	:	:	PUNCT
ajase-5938	109	25	r2=1-(∑i=1	r2=1-(∑i=1	NUM
ajase-5938	109	26	n(yi	n(yi	PROPN
ajase-5938	109	27	-	-	PUNCT
ajase-5938	109	28	y^i	y^i	NOUN
ajase-5938	109	29	)	)	PUNCT
ajase-5938	109	30	2	2	NUM
ajase-5938	109	31	)	)	PUNCT
ajase-5938	109	32	/(1	/(1	PUNCT
ajase-5938	109	33	/	/	SYM
ajase-5938	110	1	n	n	PROPN
ajase-5938	110	2	∑i=1	∑i=1	NOUN
ajase-5938	110	3	n(yi	n(yi	NOUN
ajase-5938	110	4	-	-	NOUN
ajase-5938	110	5	y¯i	y¯i	NOUN
ajase-5938	110	6	)	)	PUNCT
ajase-5938	110	7	2	2	NUM
ajase-5938	110	8	)	)	PUNCT
ajase-5938	110	9	results	result	NOUN
ajase-5938	110	10	and	and	CCONJ
ajase-5938	110	11	discussion	discussion	NOUN
ajase-5938	110	12	simulated	simulate	VERB
ajase-5938	110	13	data	datum	NOUN
ajase-5938	110	14	presentation	presentation	NOUN
ajase-5938	110	15	and	and	CCONJ
ajase-5938	110	16	preliminary	preliminary	ADJ
ajase-5938	110	17	assessment	assessment	NOUN
ajase-5938	110	18	this	this	DET
ajase-5938	110	19	section	section	NOUN
ajase-5938	110	20	presents	present	VERB
ajase-5938	110	21	and	and	CCONJ
ajase-5938	110	22	discusses	discuss	VERB
ajase-5938	110	23	the	the	DET
ajase-5938	110	24	simulated	simulated	ADJ
ajase-5938	110	25	response	response	NOUN
ajase-5938	110	26	variable	variable	ADJ
ajase-5938	110	27	and	and	CCONJ
ajase-5938	110	28	explanatory	explanatory	ADJ
ajase-5938	110	29	variables	variable	NOUN
ajase-5938	110	30	at	at	ADP
ajase-5938	110	31	different	different	ADJ
ajase-5938	110	32	scenarios	scenario	NOUN
ajase-5938	110	33	of	of	ADP
ajase-5938	110	34	high	high	ADJ
ajase-5938	110	35	dimensionalities	dimensionality	NOUN
ajase-5938	110	36	as	as	SCONJ
ajase-5938	110	37	shown	show	VERB
ajase-5938	110	38	in	in	ADP
ajase-5938	110	39	table	table	NOUN
ajase-5938	110	40	1	1	NUM
ajase-5938	110	41	,	,	PUNCT
ajase-5938	110	42	table	table	NOUN
ajase-5938	110	43	2	2	NUM
ajase-5938	110	44	,	,	PUNCT
ajase-5938	110	45	table	table	NOUN
ajase-5938	110	46	3	3	NUM
ajase-5938	110	47	and	and	CCONJ
ajase-5938	110	48	table	table	NOUN
ajase-5938	110	49	4	4	NUM
ajase-5938	110	50	.	.	PUNCT
ajase-5938	111	1	the	the	DET
ajase-5938	111	2	simulated	simulated	ADJ
ajase-5938	111	3	response	response	NOUN
ajase-5938	111	4	variable	variable	ADJ
ajase-5938	111	5	and	and	CCONJ
ajase-5938	111	6	explanatory	explanatory	ADJ
ajase-5938	111	7	variables	variable	NOUN
ajase-5938	111	8	at	at	ADP
ajase-5938	111	9	each	each	DET
ajase-5938	111	10	scenarios	scenario	NOUN
ajase-5938	111	11	were	be	AUX
ajase-5938	111	12	generated	generate	VERB
ajase-5938	111	13	using	use	VERB
ajase-5938	111	14	y	y	PROPN
ajase-5938	111	15	=	=	SYM
ajase-5938	111	16	xβ+ϵ	xβ+ϵ	PROPN
ajase-5938	111	17	;	;	PUNCT
ajase-5938	111	18	where	where	SCONJ
ajase-5938	111	19	:	:	PUNCT
ajase-5938	111	20	x	x	SYM
ajase-5938	111	21	~	~	X
ajase-5938	111	22	n(0,σ	n(0,σ	NOUN
ajase-5938	111	23	)	)	PUNCT
ajase-5938	111	24	,	,	PUNCT
ajase-5938	111	25	with	with	ADP
ajase-5938	111	26	σij=	σij=	PROPN
ajase-5938	111	27	ρ	ρ	NOUN
ajase-5938	111	28	for	for	ADP
ajase-5938	111	29	i≠j	i≠j	NOUN
ajase-5938	111	30	)	)	PUNCT
ajase-5938	111	31	,	,	PUNCT
ajase-5938	111	32	controlling	control	VERB
ajase-5938	111	33	the	the	DET
ajase-5938	111	34	level	level	NOUN
ajase-5938	111	35	of	of	ADP
ajase-5938	111	36	multicollinearity	multicollinearity	NOUN
ajase-5938	111	37	β	β	X
ajase-5938	111	38	is	be	AUX
ajase-5938	111	39	a	a	DET
ajase-5938	111	40	sparse	sparse	ADJ
ajase-5938	111	41	vector	vector	NOUN
ajase-5938	111	42	with	with	ADP
ajase-5938	111	43	randomly	randomly	ADV
ajase-5938	111	44	assigned	assign	VERB
ajase-5938	111	45	non	non	ADJ
ajase-5938	111	46	-	-	ADJ
ajase-5938	111	47	zero	zero	NUM
ajase-5938	111	48	coefficients	coefficient	NOUN
ajase-5938	111	49	drawn	draw	VERB
ajase-5938	111	50	from	from	ADP
ajase-5938	111	51	n(0,1	n(0,1	NOUN
ajase-5938	111	52	)	)	PUNCT
ajase-5938	111	53	,	,	PUNCT
ajase-5938	111	54	∈~n(0,σ2)is	∈~n(0,σ2)is	ADJ
ajase-5938	111	55	gaussian	gaussian	ADJ
ajase-5938	111	56	noise	noise	NOUN
ajase-5938	111	57	adjusted	adjust	VERB
ajase-5938	111	58	to	to	PART
ajase-5938	111	59	achieve	achieve	VERB
ajase-5938	111	60	desired	desire	VERB
ajase-5938	111	61	r2	r2	NOUN
ajase-5938	111	62	.	.	PUNCT
ajase-5938	112	1	table	table	NOUN
ajase-5938	112	2	1	1	NUM
ajase-5938	112	3	:	:	PUNCT
ajase-5938	112	4	summary	summary	NOUN
ajase-5938	112	5	statistics	statistic	NOUN
ajase-5938	112	6	of	of	ADP
ajase-5938	112	7	the	the	DET
ajase-5938	112	8	simulated	simulate	VERB
ajase-5938	112	9	response	response	NOUN
ajase-5938	112	10	variables	variable	NOUN
ajase-5938	112	11	and	and	CCONJ
ajase-5938	112	12	last	last	ADJ
ajase-5938	112	13	7	7	NUM
ajase-5938	112	14	-	-	PUNCT
ajase-5938	112	15	explanatory	explanatory	ADJ
ajase-5938	112	16	variables	variable	NOUN
ajase-5938	112	17	at	at	ADP
ajase-5938	112	18	sample	sample	NOUN
ajase-5938	112	19	size	size	NOUN
ajase-5938	112	20	30	30	NUM
ajase-5938	112	21	no	no	NOUN
ajase-5938	112	22	of	of	ADP
ajase-5938	112	23	predictors	predictor	NOUN
ajase-5938	112	24	50	50	NUM
ajase-5938	112	25	variables	variable	NOUN
ajase-5938	112	26	y	y	PROPN
ajase-5938	112	27	x44	x44	PROPN
ajase-5938	112	28	x45	x45	PROPN
ajase-5938	112	29	x46	x46	PROPN
ajase-5938	113	1	x47	x47	INTJ
ajase-5938	114	1	x48	x48	NUM
ajase-5938	114	2	x49	x49	NOUN
ajase-5938	115	1	x50	x50	NOUN
ajase-5938	115	2	mean	mean	VERB
ajase-5938	115	3	1.324	1.324	NUM
ajase-5938	115	4	0.0594	0.0594	NUM
ajase-5938	115	5	-0.010	-0.010	PUNCT
ajase-5938	116	1	0.0731	0.0731	NUM
ajase-5938	116	2	-0.074	-0.074	X
ajase-5938	116	3	-0.022	-0.022	NUM
ajase-5938	116	4	0.228	0.228	NUM
ajase-5938	116	5	0.147	0.147	NUM
ajase-5938	116	6	median	median	NOUN
ajase-5938	116	7	1.966	1.966	NUM
ajase-5938	116	8	0.115	0.115	NUM
ajase-5938	116	9	-0.060	-0.060	NOUN
ajase-5938	116	10	0.117	0.117	NUM
ajase-5938	116	11	-0.104	-0.104	PROPN
ajase-5938	116	12	0.142	0.142	NUM
ajase-5938	116	13	0.472	0.472	NUM
ajase-5938	116	14	0.090	0.090	NUM
ajase-5938	116	15	min	min	NOUN
ajase-5938	116	16	.	.	PUNCT
ajase-5938	116	17	-7.318	-7.318	PUNCT
ajase-5938	117	1	-1.916	-1.916	PUNCT
ajase-5938	117	2	-2.043	-2.043	X
ajase-5938	117	3	-1.994	-1.994	PUNCT
ajase-5938	117	4	-2.250	-2.250	PUNCT
ajase-5938	117	5	-2.129	-2.129	PUNCT
ajase-5938	117	6	-2.08	-2.08	NUM
ajase-5938	117	7	-1.615	-1.615	PUNCT
ajase-5938	117	8	max	max	PROPN
ajase-5938	117	9	.	.	PROPN
ajase-5938	118	1	11.453	11.453	NUM
ajase-5938	118	2	2.401	2.401	NUM
ajase-5938	118	3	2.479	2.479	NUM
ajase-5938	118	4	2.309	2.309	NUM
ajase-5938	118	5	2.065	2.065	NUM
ajase-5938	118	6	1.410	1.410	NUM
ajase-5938	118	7	2.158	2.158	NUM
ajase-5938	118	8	2.236	2.236	NUM
ajase-5938	118	9	no	no	NOUN
ajase-5938	118	10	of	of	ADP
ajase-5938	118	11	predictors	predictor	NOUN
ajase-5938	118	12	70	70	NUM
ajase-5938	118	13	variables	variable	NOUN
ajase-5938	118	14	y	y	PROPN
ajase-5938	118	15	x64	x64	PROPN
ajase-5938	118	16	x65	x65	PROPN
ajase-5938	118	17	x66	x66	PROPN
ajase-5938	118	18	x67	x67	PROPN
ajase-5938	118	19	x68	x68	PROPN
ajase-5938	119	1	x69	x69	PROPN
ajase-5938	119	2	x70	x70	PROPN
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ajase-5938	119	4	1.386	1.386	NUM
ajase-5938	119	5	-0.098	-0.098	SYM
ajase-5938	119	6	-0.025	-0.025	PROPN
ajase-5938	119	7	0.039	0.039	NUM
ajase-5938	119	8	0.039	0.039	NUM
ajase-5938	119	9	0.038	0.038	NUM
ajase-5938	119	10	0.082	0.082	NUM
ajase-5938	119	11	0.009	0.009	NUM
ajase-5938	119	12	median	median	NOUN
ajase-5938	119	13	2.610	2.610	NUM
ajase-5938	119	14	-0.092	-0.092	PUNCT
ajase-5938	119	15	0.039	0.039	NUM
ajase-5938	119	16	0.090	0.090	NUM
ajase-5938	119	17	0.080	0.080	NUM
ajase-5938	119	18	0.048	0.048	NUM
ajase-5938	119	19	-0.124	-0.124	PUNCT
ajase-5938	119	20	-0.055	-0.055	PUNCT
ajase-5938	119	21	min	min	NOUN
ajase-5938	119	22	.	.	PROPN
ajase-5938	120	1	-12.311	-12.311	NUM
ajase-5938	120	2	-1.823	-1.823	NUM
ajase-5938	120	3	-1.564	-1.564	NOUN
ajase-5938	120	4	-1.552	-1.552	PUNCT
ajase-5938	120	5	-1.609	-1.609	X
ajase-5938	120	6	-1.823	-1.823	X
ajase-5938	120	7	-1.678	-1.678	X
ajase-5938	120	8	-2.005	-2.005	PUNCT
ajase-5938	120	9	max	max	PROPN
ajase-5938	120	10	.	.	PROPN
ajase-5938	121	1	14.267	14.267	NUM
ajase-5938	121	2	1.833	1.833	NUM
ajase-5938	121	3	1.956	1.956	NUM
ajase-5938	121	4	2.013	2.013	NUM
ajase-5938	121	5	1.941	1.941	NUM
ajase-5938	121	6	1.833	1.833	NUM
ajase-5938	121	7	2.217	2.217	NUM
ajase-5938	121	8	1.948	1.948	NUM
ajase-5938	121	9	no	no	NOUN
ajase-5938	121	10	of	of	ADP
ajase-5938	121	11	predictors	predictor	NOUN
ajase-5938	121	12	200	200	NUM
ajase-5938	121	13	variables	variable	NOUN
ajase-5938	121	14	y	y	PROPN
ajase-5938	121	15	x194	x194	PUNCT
ajase-5938	122	1	x195	x195	PUNCT
ajase-5938	123	1	x196	x196	PROPN
ajase-5938	123	2	x197	x197	PROPN
ajase-5938	124	1	x198	x198	PROPN
ajase-5938	125	1	x199	x199	PROPN
ajase-5938	126	1	x200	x200	PRON
ajase-5938	126	2	mean	mean	VERB
ajase-5938	126	3	-0.497	-0.497	NUM
ajase-5938	126	4	0.036	0.036	NUM
ajase-5938	126	5	0.047	0.047	NUM
ajase-5938	126	6	-0.006	-0.006	PROPN
ajase-5938	126	7	0.088	0.088	NUM
ajase-5938	126	8	0.153	0.153	NUM
ajase-5938	126	9	0.194	0.194	NUM
ajase-5938	126	10	0.147	0.147	NUM
ajase-5938	126	11	median	median	NOUN
ajase-5938	126	12	0.344	0.344	NUM
ajase-5938	127	1	-0.202	-0.202	NUM
ajase-5938	127	2	-0.095	-0.095	NUM
ajase-5938	127	3	-0.175	-0.175	PUNCT
ajase-5938	128	1	-0.152	-0.152	PUNCT
ajase-5938	128	2	0.063	0.063	NUM
ajase-5938	128	3	-0.048	-0.048	NOUN
ajase-5938	128	4	-0.115	-0.115	PUNCT
ajase-5938	128	5	min	min	PROPN
ajase-5938	128	6	.	.	PROPN
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ajase-5938	128	10	-2.907	-2.907	NUM
ajase-5938	128	11	-2.132	-2.132	PUNCT
ajase-5938	128	12	-2.079	-2.079	PROPN
ajase-5938	128	13	-1.888	-1.888	PUNCT
ajase-5938	128	14	-2.019	-2.019	PROPN
ajase-5938	129	1	max	max	PROPN
ajase-5938	129	2	.	.	PROPN
ajase-5938	130	1	13.879	13.879	NUM
ajase-5938	130	2	2.539	2.539	NUM
ajase-5938	130	3	2.532	2.532	NUM
ajase-5938	130	4	2.787	2.787	NUM
ajase-5938	130	5	2.764	2.764	NUM
ajase-5938	130	6	2.834	2.834	NUM
ajase-5938	130	7	2.566	2.566	NUM
ajase-5938	130	8	2.488	2.488	NUM
ajase-5938	130	9	source	source	NOUN
ajase-5938	130	10	:	:	PUNCT
ajase-5938	130	11	researchers	researcher	NOUN
ajase-5938	130	12	’	'	PUNCT
ajase-5938	130	13	compilations	compilation	NOUN
ajase-5938	130	14	from	from	ADP
ajase-5938	130	15	r	r	NOUN
ajase-5938	130	16	-	-	PUNCT
ajase-5938	130	17	output	output	NOUN
ajase-5938	130	18	pa	pa	PROPN
ajase-5938	130	19	ge	ge	PROPN
ajase-5938	131	1	13	13	NUM
ajase-5938	131	2	1	1	NUM
ajase-5938	131	3	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5938	131	4	am	am	NOUN
ajase-5938	131	5	.	.	PUNCT
ajase-5938	132	1	j.	j.	PROPN
ajase-5938	132	2	appl	appl	PROPN
ajase-5938	132	3	.	.	PROPN
ajase-5938	133	1	stat	stat	PROPN
ajase-5938	133	2	.	.	PUNCT
ajase-5938	134	1	econ	econ	PROPN
ajase-5938	134	2	.	.	PUNCT
ajase-5938	135	1	4(1	4(1	X
ajase-5938	135	2	)	)	PUNCT
ajase-5938	136	1	127	127	NUM
ajase-5938	136	2	-	-	SYM
ajase-5938	136	3	140	140	NUM
ajase-5938	136	4	,	,	PUNCT
ajase-5938	136	5	2025	2025	NUM
ajase-5938	136	6	table	table	NOUN
ajase-5938	136	7	2	2	NUM
ajase-5938	136	8	:	:	PUNCT
ajase-5938	136	9	summary	summary	NOUN
ajase-5938	136	10	statistics	statistic	NOUN
ajase-5938	136	11	of	of	ADP
ajase-5938	136	12	the	the	DET
ajase-5938	136	13	simulated	simulate	VERB
ajase-5938	136	14	response	response	NOUN
ajase-5938	136	15	variables	variable	NOUN
ajase-5938	136	16	and	and	CCONJ
ajase-5938	136	17	last	last	ADJ
ajase-5938	136	18	7	7	NUM
ajase-5938	136	19	independent	independent	ADJ
ajase-5938	136	20	variables	variable	NOUN
ajase-5938	136	21	at	at	ADP
ajase-5938	136	22	sample	sample	NOUN
ajase-5938	136	23	size	size	NOUN
ajase-5938	136	24	50	50	NUM
ajase-5938	136	25	no	no	NOUN
ajase-5938	136	26	of	of	ADP
ajase-5938	136	27	predictors	predictor	NOUN
ajase-5938	136	28	70	70	NUM
ajase-5938	136	29	variables	variable	NOUN
ajase-5938	136	30	y	y	PROPN
ajase-5938	136	31	x44	x44	PROPN
ajase-5938	136	32	x45	x45	PROPN
ajase-5938	136	33	x46	x46	PROPN
ajase-5938	137	1	x47	x47	INTJ
ajase-5938	138	1	x48	x48	NUM
ajase-5938	139	1	x49	x49	NOUN
ajase-5938	140	1	x50	x50	NOUN
ajase-5938	140	2	mean	mean	VERB
ajase-5938	140	3	-0.048	-0.048	NUM
ajase-5938	140	4	0.062	0.062	NUM
ajase-5938	140	5	-0.101	-0.101	NOUN
ajase-5938	140	6	-0.125	-0.125	PROPN
ajase-5938	140	7	-0.099	-0.099	PUNCT
ajase-5938	141	1	0.067	0.067	NUM
ajase-5938	141	2	-0.106	-0.106	NUM
ajase-5938	141	3	-0.014	-0.014	NOUN
ajase-5938	141	4	median	median	NOUN
ajase-5938	141	5	0.237	0.237	NUM
ajase-5938	141	6	0.065	0.065	NUM
ajase-5938	141	7	-0.064	-0.064	PUNCT
ajase-5938	141	8	-0.145	-0.145	NOUN
ajase-5938	141	9	0.114	0.114	NUM
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ajase-5938	141	11	0.057	0.057	NUM
ajase-5938	141	12	-0.167	-0.167	NOUN
ajase-5938	141	13	min	min	NOUN
ajase-5938	141	14	.	.	PROPN
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ajase-5938	141	24	.	.	PROPN
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ajase-5938	144	28	.	.	PUNCT
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ajase-5938	145	8	2.529	2.529	NUM
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ajase-5938	150	5	0.096	0.096	NUM
ajase-5938	150	6	0.071	0.071	NUM
ajase-5938	150	7	0.080	0.080	NUM
ajase-5938	150	8	0.065	0.065	NUM
ajase-5938	150	9	0.063	0.063	NUM
ajase-5938	150	10	0.071	0.071	NUM
ajase-5938	150	11	median	median	NOUN
ajase-5938	150	12	-0.808	-0.808	NUM
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ajase-5938	150	14	0.235	0.235	NUM
ajase-5938	150	15	0.376	0.376	NUM
ajase-5938	150	16	0.313	0.313	NUM
ajase-5938	150	17	0.349	0.349	NUM
ajase-5938	150	18	0.349	0.349	NUM
ajase-5938	150	19	0.368	0.368	NUM
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ajase-5938	150	21	.	.	PROPN
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ajase-5938	150	31	.	.	PROPN
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ajase-5938	151	4	1.607	1.607	NUM
ajase-5938	151	5	1.627	1.627	NUM
ajase-5938	151	6	1.641	1.641	NUM
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ajase-5938	151	10	:	:	PUNCT
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ajase-5938	151	27	variables	variable	NOUN
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ajase-5938	151	30	7	7	NUM
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ajase-5938	151	32	variables	variable	NOUN
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ajase-5938	151	34	sample	sample	NOUN
ajase-5938	151	35	size	size	NOUN
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ajase-5938	151	37	no	no	NOUN
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ajase-5938	151	39	predictors	predictor	NOUN
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ajase-5938	152	5	0.006	0.006	NUM
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ajase-5938	152	8	0.026	0.026	NUM
ajase-5938	152	9	-0.075	-0.075	NUM
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ajase-5938	153	9	.	.	PROPN
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ajase-5938	171	16	.	.	PUNCT
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ajase-5938	172	10	:	:	PUNCT
ajase-5938	172	11	researchers	researcher	NOUN
ajase-5938	172	12	’	'	PUNCT
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ajase-5938	172	14	from	from	ADP
ajase-5938	172	15	r	r	NOUN
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ajase-5938	172	21	2	2	NUM
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ajase-5938	174	2	.	.	PUNCT
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ajase-5938	175	2	.	.	PUNCT
ajase-5938	176	1	4(1	4(1	X
ajase-5938	176	2	)	)	PUNCT
ajase-5938	177	1	127	127	NUM
ajase-5938	177	2	-	-	SYM
ajase-5938	177	3	140	140	NUM
ajase-5938	177	4	,	,	PUNCT
ajase-5938	177	5	2025	2025	NUM
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ajase-5938	177	7	,	,	PUNCT
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ajase-5938	177	9	1	1	NUM
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ajase-5938	177	19	and	and	CCONJ
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ajase-5938	177	21	7	7	NUM
ajase-5938	177	22	-	-	PUNCT
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ajase-5938	177	29	p>(n=30	p>(n=30	NOUN
ajase-5938	177	30	)	)	PUNCT
ajase-5938	177	31	,	,	PUNCT
ajase-5938	177	32	as	as	SCONJ
ajase-5938	177	33	p	p	PROPN
ajase-5938	177	34	was	be	AUX
ajase-5938	177	35	varied	varied	ADJ
ajase-5938	177	36	across	across	ADP
ajase-5938	177	37	50	50	NUM
ajase-5938	177	38	,	,	PUNCT
ajase-5938	177	39	70	70	NUM
ajase-5938	177	40	and	and	CCONJ
ajase-5938	177	41	200	200	NUM
ajase-5938	177	42	.	.	PUNCT
ajase-5938	178	1	the	the	DET
ajase-5938	178	2	n=30	n=30	NOUN
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ajase-5938	178	4	our	our	PRON
ajase-5938	178	5	first	first	ADJ
ajase-5938	178	6	small	small	ADJ
ajase-5938	178	7	sample	sample	NOUN
ajase-5938	178	8	settings	setting	NOUN
ajase-5938	178	9	representing	represent	VERB
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ajase-5938	178	11	most	most	ADV
ajase-5938	178	12	challenging	challenging	ADJ
ajase-5938	178	13	setting	set	VERB
ajase-5938	178	14	where	where	SCONJ
ajase-5938	178	15	predictors	predictor	NOUN
ajase-5938	178	16	(	(	PUNCT
ajase-5938	178	17	p	p	X
ajase-5938	178	18	)	)	PUNCT
ajase-5938	178	19	far	far	ADV
ajase-5938	178	20	exceed	exceed	VERB
ajase-5938	178	21	observations	observation	NOUN
ajase-5938	178	22	.	.	PUNCT
ajase-5938	179	1	according	accord	VERB
ajase-5938	179	2	to	to	ADP
ajase-5938	179	3	the	the	DET
ajase-5938	179	4	table	table	NOUN
ajase-5938	179	5	at	at	ADP
ajase-5938	179	6	(	(	PUNCT
ajase-5938	179	7	p=50)>(n=30	p=50)>(n=30	NUM
ajase-5938	179	8	)	)	PUNCT
ajase-5938	179	9	,	,	PUNCT
ajase-5938	179	10	the	the	DET
ajase-5938	179	11	simulated	simulate	VERB
ajase-5938	179	12	responsevariable	responsevariable	NOUN
ajase-5938	179	13	has	have	AUX
ajase-5938	179	14	mean	mean	NOUN
ajase-5938	179	15	of	of	ADP
ajase-5938	179	16	1.32	1.32	NUM
ajase-5938	179	17	ranges	range	NOUN
ajase-5938	179	18	between	between	ADP
ajase-5938	179	19	-17.32	-17.32	PUNCT
ajase-5938	179	20	and	and	CCONJ
ajase-5938	179	21	11.45	11.45	NUM
ajase-5938	179	22	.	.	PUNCT
ajase-5938	180	1	also	also	ADV
ajase-5938	180	2	,	,	PUNCT
ajase-5938	180	3	the	the	DET
ajase-5938	180	4	table	table	NOUN
ajase-5938	180	5	show	show	VERB
ajase-5938	180	6	that	that	SCONJ
ajase-5938	180	7	at	at	ADP
ajase-5938	180	8	(	(	PUNCT
ajase-5938	180	9	p=70)>(n=30	p=70)>(n=30	NOUN
ajase-5938	180	10	)	)	PUNCT
ajase-5938	180	11	the	the	DET
ajase-5938	180	12	simulated	simulated	ADJ
ajase-5938	180	13	response	response	NOUN
ajase-5938	180	14	-	-	PUNCT
ajase-5938	180	15	variable	variable	NOUN
ajase-5938	180	16	has	have	AUX
ajase-5938	180	17	mean	mean	NOUN
ajase-5938	180	18	of	of	ADP
ajase-5938	180	19	1.39	1.39	NUM
ajase-5938	180	20	ranges	range	NOUN
ajase-5938	180	21	between	between	ADP
ajase-5938	180	22	-12.31	-12.31	PROPN
ajase-5938	180	23	and	and	CCONJ
ajase-5938	180	24	14.27	14.27	NUM
ajase-5938	180	25	.	.	PUNCT
ajase-5938	181	1	likewise	likewise	ADV
ajase-5938	181	2	,	,	PUNCT
ajase-5938	181	3	table	table	NOUN
ajase-5938	181	4	1	1	NUM
ajase-5938	181	5	reveals	reveal	VERB
ajase-5938	181	6	that	that	SCONJ
ajase-5938	181	7	at	at	ADP
ajase-5938	181	8	(	(	PUNCT
ajase-5938	181	9	p=200)>(n=30	p=200)>(n=30	NOUN
ajase-5938	181	10	)	)	PUNCT
ajase-5938	181	11	the	the	DET
ajase-5938	181	12	simulated	simulated	ADJ
ajase-5938	181	13	response	response	NOUN
ajase-5938	181	14	-	-	PUNCT
ajase-5938	181	15	variable	variable	NOUN
ajase-5938	181	16	has	have	AUX
ajase-5938	181	17	mean	mean	NOUN
ajase-5938	181	18	of	of	ADP
ajase-5938	181	19	-0.497	-0.497	NOUN
ajase-5938	181	20	ranges	range	NOUN
ajase-5938	181	21	between	between	ADP
ajase-5938	181	22	-15.91	-15.91	PROPN
ajase-5938	181	23	and	and	CCONJ
ajase-5938	181	24	13.88	13.88	NUM
ajase-5938	181	25	.	.	PUNCT
ajase-5938	182	1	similarly	similarly	ADV
ajase-5938	182	2	,	,	PUNCT
ajase-5938	182	3	table	table	NOUN
ajase-5938	182	4	2	2	NUM
ajase-5938	182	5	presents	present	VERB
ajase-5938	182	6	the	the	DET
ajase-5938	182	7	summary	summary	NOUN
ajase-5938	182	8	statistics	statistic	NOUN
ajase-5938	182	9	of	of	ADP
ajase-5938	182	10	simulated	simulated	ADJ
ajase-5938	182	11	response	response	NOUN
ajase-5938	182	12	-	-	PUNCT
ajase-5938	182	13	variables	variable	NOUN
ajase-5938	182	14	and	and	CCONJ
ajase-5938	182	15	last	last	ADJ
ajase-5938	182	16	7	7	NUM
ajase-5938	182	17	-	-	PUNCT
ajase-5938	182	18	explanatory	explanatory	ADJ
ajase-5938	182	19	variables	variable	NOUN
ajase-5938	182	20	at	at	ADP
ajase-5938	182	21	different	different	ADJ
ajase-5938	182	22	scenarios	scenario	NOUN
ajase-5938	182	23	of	of	ADP
ajase-5938	182	24	p>(n=50	p>(n=50	NOUN
ajase-5938	182	25	)	)	PUNCT
ajase-5938	182	26	,	,	PUNCT
ajase-5938	182	27	as	as	SCONJ
ajase-5938	182	28	p	p	PROPN
ajase-5938	182	29	was	be	AUX
ajase-5938	182	30	varied	varied	ADJ
ajase-5938	182	31	across	across	ADP
ajase-5938	182	32	70	70	NUM
ajase-5938	182	33	,	,	PUNCT
ajase-5938	182	34	100	100	NUM
ajase-5938	182	35	and	and	CCONJ
ajase-5938	182	36	200	200	NUM
ajase-5938	182	37	.	.	PUNCT
ajase-5938	183	1	the	the	DET
ajase-5938	183	2	n=50	n=50	ADJ
ajase-5938	183	3	is	be	AUX
ajase-5938	183	4	our	our	PRON
ajase-5938	183	5	second	second	ADJ
ajase-5938	183	6	small	small	ADJ
ajase-5938	183	7	sample	sample	NOUN
ajase-5938	183	8	settings	setting	NOUN
ajase-5938	183	9	also	also	ADV
ajase-5938	183	10	representing	represent	VERB
ajase-5938	183	11	the	the	DET
ajase-5938	183	12	most	most	ADV
ajase-5938	183	13	challenging	challenging	ADJ
ajase-5938	183	14	setting	set	VERB
ajase-5938	183	15	where	where	SCONJ
ajase-5938	183	16	predictors	predictor	NOUN
ajase-5938	183	17	(	(	PUNCT
ajase-5938	183	18	p	p	X
ajase-5938	183	19	)	)	PUNCT
ajase-5938	183	20	far	far	ADV
ajase-5938	183	21	exceed	exceed	VERB
ajase-5938	183	22	observations	observation	NOUN
ajase-5938	183	23	.	.	PUNCT
ajase-5938	184	1	according	accord	VERB
ajase-5938	184	2	to	to	ADP
ajase-5938	184	3	the	the	DET
ajase-5938	184	4	table	table	NOUN
ajase-5938	184	5	at	at	ADP
ajase-5938	184	6	(	(	PUNCT
ajase-5938	184	7	p=70)>(n=50	p=70)>(n=50	NOUN
ajase-5938	184	8	)	)	PUNCT
ajase-5938	184	9	,	,	PUNCT
ajase-5938	184	10	the	the	DET
ajase-5938	184	11	simulated	simulated	ADJ
ajase-5938	184	12	response	response	NOUN
ajase-5938	184	13	-	-	PUNCT
ajase-5938	184	14	variable	variable	NOUN
ajase-5938	184	15	has	have	AUX
ajase-5938	184	16	mean	mean	NOUN
ajase-5938	184	17	of	of	ADP
ajase-5938	184	18	-0.048	-0.048	NOUN
ajase-5938	184	19	ranges	range	NOUN
ajase-5938	184	20	between	between	ADP
ajase-5938	184	21	-8.29	-8.29	NUM
ajase-5938	184	22	and	and	CCONJ
ajase-5938	184	23	7.12	7.12	NUM
ajase-5938	184	24	.	.	PUNCT
ajase-5938	185	1	also	also	ADV
ajase-5938	185	2	,	,	PUNCT
ajase-5938	185	3	the	the	DET
ajase-5938	185	4	table	table	NOUN
ajase-5938	185	5	show	show	VERB
ajase-5938	185	6	that	that	SCONJ
ajase-5938	185	7	at	at	ADP
ajase-5938	185	8	(	(	PUNCT
ajase-5938	185	9	p=100)>(n=50	p=100)>(n=50	PROPN
ajase-5938	185	10	)	)	PUNCT
ajase-5938	185	11	the	the	DET
ajase-5938	185	12	simulated	simulated	ADJ
ajase-5938	185	13	response	response	NOUN
ajase-5938	185	14	-	-	PUNCT
ajase-5938	185	15	variable	variable	NOUN
ajase-5938	185	16	has	have	AUX
ajase-5938	185	17	mean	mean	NOUN
ajase-5938	185	18	of	of	ADP
ajase-5938	185	19	-1.232	-1.232	PROPN
ajase-5938	185	20	ranges	range	VERB
ajase-5938	185	21	between	between	ADP
ajase-5938	185	22	-20.89	-20.89	PROPN
ajase-5938	185	23	and	and	CCONJ
ajase-5938	185	24	25.59	25.59	NUM
ajase-5938	185	25	.	.	PUNCT
ajase-5938	186	1	in	in	ADP
ajase-5938	186	2	addition	addition	NOUN
ajase-5938	186	3	,	,	PUNCT
ajase-5938	186	4	table	table	NOUN
ajase-5938	186	5	2	2	NUM
ajase-5938	186	6	reveals	reveal	VERB
ajase-5938	186	7	that	that	SCONJ
ajase-5938	186	8	at	at	ADP
ajase-5938	186	9	(	(	PUNCT
ajase-5938	186	10	p=200)>(n=50	p=200)>(n=50	PROPN
ajase-5938	186	11	)	)	PUNCT
ajase-5938	186	12	the	the	DET
ajase-5938	186	13	simulated	simulated	ADJ
ajase-5938	186	14	response	response	NOUN
ajase-5938	186	15	-	-	PUNCT
ajase-5938	186	16	variable	variable	NOUN
ajase-5938	186	17	has	have	AUX
ajase-5938	186	18	mean	mean	NOUN
ajase-5938	186	19	of	of	ADP
ajase-5938	186	20	-0.375	-0.375	INTJ
ajase-5938	186	21	ranges	range	NOUN
ajase-5938	186	22	between	between	ADP
ajase-5938	186	23	-10.37	-10.37	PROPN
ajase-5938	186	24	and	and	CCONJ
ajase-5938	186	25	20.62	20.62	NUM
ajase-5938	186	26	.	.	PUNCT
ajase-5938	187	1	furthermore	furthermore	ADV
ajase-5938	187	2	,	,	PUNCT
ajase-5938	187	3	table	table	NOUN
ajase-5938	187	4	3	3	NUM
ajase-5938	187	5	presents	present	VERB
ajase-5938	187	6	the	the	DET
ajase-5938	187	7	summary	summary	NOUN
ajase-5938	187	8	statistics	statistic	NOUN
ajase-5938	187	9	of	of	ADP
ajase-5938	187	10	simulated	simulated	ADJ
ajase-5938	187	11	response	response	NOUN
ajase-5938	187	12	-	-	PUNCT
ajase-5938	187	13	variables	variable	NOUN
ajase-5938	187	14	and	and	CCONJ
ajase-5938	187	15	last	last	ADJ
ajase-5938	187	16	7	7	NUM
ajase-5938	187	17	-	-	PUNCT
ajase-5938	187	18	explanatory	explanatory	ADJ
ajase-5938	187	19	variables	variable	NOUN
ajase-5938	187	20	at	at	ADP
ajase-5938	187	21	different	different	ADJ
ajase-5938	187	22	scenarios	scenario	NOUN
ajase-5938	187	23	of	of	ADP
ajase-5938	187	24	p>(n=70	p>(n=70	ADJ
ajase-5938	187	25	)	)	PUNCT
ajase-5938	187	26	,	,	PUNCT
ajase-5938	187	27	as	as	SCONJ
ajase-5938	187	28	p	p	PROPN
ajase-5938	187	29	was	be	AUX
ajase-5938	187	30	varied	varied	ADJ
ajase-5938	187	31	across	across	ADP
ajase-5938	187	32	100	100	NUM
ajase-5938	187	33	,	,	PUNCT
ajase-5938	187	34	150	150	NUM
ajase-5938	187	35	and	and	CCONJ
ajase-5938	187	36	200	200	NUM
ajase-5938	187	37	.	.	PUNCT
ajase-5938	188	1	the	the	DET
ajase-5938	188	2	n=70	n=70	PROPN
ajase-5938	188	3	is	be	AUX
ajase-5938	188	4	our	our	PRON
ajase-5938	188	5	first	first	ADJ
ajase-5938	188	6	higher	high	ADJ
ajase-5938	188	7	small	small	ADJ
ajase-5938	188	8	sample	sample	NOUN
ajase-5938	188	9	size	size	NOUN
ajase-5938	188	10	considered	consider	VERB
ajase-5938	188	11	to	to	PART
ajase-5938	188	12	explore	explore	VERB
ajase-5938	188	13	scalability	scalability	NOUN
ajase-5938	188	14	and	and	CCONJ
ajase-5938	188	15	performance	performance	NOUN
ajase-5938	188	16	in	in	ADP
ajase-5938	188	17	more	more	ADV
ajase-5938	188	18	balanced	balanced	ADJ
ajase-5938	188	19	or	or	CCONJ
ajase-5938	188	20	low	low	ADJ
ajase-5938	188	21	-	-	PUNCT
ajase-5938	188	22	dimensional	dimensional	ADJ
ajase-5938	188	23	settings	setting	NOUN
ajase-5938	188	24	.	.	PUNCT
ajase-5938	189	1	according	accord	VERB
ajase-5938	189	2	to	to	ADP
ajase-5938	189	3	the	the	DET
ajase-5938	189	4	table	table	NOUN
ajase-5938	189	5	at	at	ADP
ajase-5938	189	6	(	(	PUNCT
ajase-5938	189	7	p=100)>(n=70	p=100)>(n=70	PROPN
ajase-5938	189	8	)	)	PUNCT
ajase-5938	189	9	,	,	PUNCT
ajase-5938	189	10	the	the	DET
ajase-5938	189	11	simulated	simulated	ADJ
ajase-5938	189	12	response	response	NOUN
ajase-5938	189	13	-	-	PUNCT
ajase-5938	189	14	variable	variable	NOUN
ajase-5938	189	15	has	have	AUX
ajase-5938	189	16	mean	mean	NOUN
ajase-5938	189	17	of	of	ADP
ajase-5938	189	18	-0.472	-0.472	NOUN
ajase-5938	189	19	ranges	range	VERB
ajase-5938	189	20	between	between	ADP
ajase-5938	189	21	-10.022	-10.022	PROPN
ajase-5938	189	22	and	and	CCONJ
ajase-5938	189	23	10.800	10.800	NUM
ajase-5938	189	24	.	.	PUNCT
ajase-5938	190	1	also	also	ADV
ajase-5938	190	2	,	,	PUNCT
ajase-5938	190	3	the	the	DET
ajase-5938	190	4	table	table	NOUN
ajase-5938	190	5	show	show	VERB
ajase-5938	190	6	that	that	SCONJ
ajase-5938	190	7	at	at	ADP
ajase-5938	190	8	(	(	PUNCT
ajase-5938	190	9	p=150)>(n=70	p=150)>(n=70	NOUN
ajase-5938	190	10	)	)	PUNCT
ajase-5938	190	11	the	the	DET
ajase-5938	190	12	simulated	simulated	ADJ
ajase-5938	190	13	response	response	NOUN
ajase-5938	190	14	-	-	PUNCT
ajase-5938	190	15	variable	variable	NOUN
ajase-5938	190	16	has	have	AUX
ajase-5938	190	17	mean	mean	NOUN
ajase-5938	190	18	of	of	ADP
ajase-5938	190	19	0.537	0.537	NUM
ajase-5938	190	20	ranges	range	NOUN
ajase-5938	190	21	between	between	ADP
ajase-5938	190	22	-15.961	-15.961	PROPN
ajase-5938	190	23	and	and	CCONJ
ajase-5938	190	24	19.764	19.764	NUM
ajase-5938	190	25	.	.	PUNCT
ajase-5938	190	26	table	table	NOUN
ajase-5938	190	27	3	3	NUM
ajase-5938	190	28	further	far	ADV
ajase-5938	190	29	reveals	reveal	VERB
ajase-5938	190	30	that	that	SCONJ
ajase-5938	190	31	at	at	ADP
ajase-5938	190	32	(	(	PUNCT
ajase-5938	190	33	p=200)>(n=70	p=200)>(n=70	INTJ
ajase-5938	190	34	)	)	PUNCT
ajase-5938	190	35	the	the	DET
ajase-5938	190	36	simulated	simulated	ADJ
ajase-5938	190	37	response	response	NOUN
ajase-5938	190	38	-	-	PUNCT
ajase-5938	190	39	variable	variable	NOUN
ajase-5938	190	40	has	have	AUX
ajase-5938	190	41	mean	mean	NOUN
ajase-5938	190	42	of	of	ADP
ajase-5938	190	43	-0.444	-0.444	ADJ
ajase-5938	190	44	ranges	range	NOUN
ajase-5938	190	45	between	between	ADP
ajase-5938	190	46	-7.515	-7.515	NOUN
ajase-5938	190	47	and	and	CCONJ
ajase-5938	190	48	7.247	7.247	NUM
ajase-5938	190	49	.	.	PUNCT
ajase-5938	191	1	moreover	moreover	ADV
ajase-5938	191	2	,	,	PUNCT
ajase-5938	191	3	table	table	NOUN
ajase-5938	191	4	4	4	NUM
ajase-5938	191	5	presents	present	VERB
ajase-5938	191	6	the	the	DET
ajase-5938	191	7	summary	summary	NOUN
ajase-5938	191	8	statistics	statistic	NOUN
ajase-5938	191	9	of	of	ADP
ajase-5938	191	10	simulated	simulated	ADJ
ajase-5938	191	11	response	response	NOUN
ajase-5938	191	12	-	-	PUNCT
ajase-5938	191	13	variables	variable	NOUN
ajase-5938	191	14	and	and	CCONJ
ajase-5938	191	15	last	last	ADJ
ajase-5938	191	16	7	7	NUM
ajase-5938	191	17	-	-	PUNCT
ajase-5938	191	18	explanatory	explanatory	ADJ
ajase-5938	191	19	variables	variable	NOUN
ajase-5938	191	20	at	at	ADP
ajase-5938	191	21	different	different	ADJ
ajase-5938	191	22	scenarios	scenario	NOUN
ajase-5938	191	23	of	of	ADP
ajase-5938	191	24	p>(n=100	p>(n=100	NOUN
ajase-5938	191	25	)	)	PUNCT
ajase-5938	191	26	,	,	PUNCT
ajase-5938	191	27	as	as	SCONJ
ajase-5938	191	28	p	p	PROPN
ajase-5938	191	29	was	be	AUX
ajase-5938	191	30	varied	varied	ADJ
ajase-5938	191	31	across	across	ADP
ajase-5938	191	32	120	120	NUM
ajase-5938	191	33	,	,	PUNCT
ajase-5938	191	34	150	150	NUM
ajase-5938	191	35	and	and	CCONJ
ajase-5938	191	36	200	200	NUM
ajase-5938	191	37	.	.	PUNCT
ajase-5938	192	1	the	the	DET
ajase-5938	192	2	n=100	n=100	NUM
ajase-5938	192	3	is	be	AUX
ajase-5938	192	4	our	our	PRON
ajase-5938	192	5	second	second	ADV
ajase-5938	192	6	higher	high	ADJ
ajase-5938	192	7	small	small	ADJ
ajase-5938	192	8	sample	sample	NOUN
ajase-5938	192	9	size	size	NOUN
ajase-5938	192	10	considered	consider	VERB
ajase-5938	192	11	to	to	PART
ajase-5938	192	12	explore	explore	VERB
ajase-5938	192	13	scalability	scalability	NOUN
ajase-5938	192	14	and	and	CCONJ
ajase-5938	192	15	performance	performance	NOUN
ajase-5938	192	16	in	in	ADP
ajase-5938	192	17	more	more	ADV
ajase-5938	192	18	balanced	balanced	ADJ
ajase-5938	192	19	or	or	CCONJ
ajase-5938	192	20	low	low	ADJ
ajase-5938	192	21	-	-	PUNCT
ajase-5938	192	22	dimensional	dimensional	ADJ
ajase-5938	192	23	settings	setting	NOUN
ajase-5938	192	24	.	.	PUNCT
ajase-5938	193	1	according	accord	VERB
ajase-5938	193	2	to	to	ADP
ajase-5938	193	3	the	the	DET
ajase-5938	193	4	table	table	NOUN
ajase-5938	193	5	at	at	ADP
ajase-5938	193	6	(	(	PUNCT
ajase-5938	193	7	p=120)>(n=100	p=120)>(n=100	PROPN
ajase-5938	193	8	)	)	PUNCT
ajase-5938	193	9	,	,	PUNCT
ajase-5938	193	10	the	the	DET
ajase-5938	193	11	simulated	simulated	ADJ
ajase-5938	193	12	response	response	NOUN
ajase-5938	193	13	-	-	PUNCT
ajase-5938	193	14	variable	variable	NOUN
ajase-5938	193	15	has	have	AUX
ajase-5938	193	16	mean	mean	NOUN
ajase-5938	193	17	of	of	ADP
ajase-5938	193	18	-0.086	-0.086	X
ajase-5938	193	19	ranges	range	NOUN
ajase-5938	193	20	between	between	ADP
ajase-5938	193	21	-24.882	-24.882	PROPN
ajase-5938	193	22	and	and	CCONJ
ajase-5938	193	23	23.759	23.759	NUM
ajase-5938	193	24	.	.	PUNCT
ajase-5938	194	1	also	also	ADV
ajase-5938	194	2	,	,	PUNCT
ajase-5938	194	3	the	the	DET
ajase-5938	194	4	table	table	NOUN
ajase-5938	194	5	show	show	VERB
ajase-5938	194	6	that	that	SCONJ
ajase-5938	194	7	at	at	ADP
ajase-5938	194	8	(	(	PUNCT
ajase-5938	194	9	p=150)>(n=100	p=150)>(n=100	PROPN
ajase-5938	194	10	)	)	PUNCT
ajase-5938	194	11	the	the	DET
ajase-5938	194	12	simulated	simulated	ADJ
ajase-5938	194	13	response	response	NOUN
ajase-5938	194	14	-	-	PUNCT
ajase-5938	194	15	variable	variable	NOUN
ajase-5938	194	16	has	have	AUX
ajase-5938	194	17	mean	mean	NOUN
ajase-5938	194	18	of	of	ADP
ajase-5938	194	19	0.164	0.164	NUM
ajase-5938	194	20	ranges	range	NOUN
ajase-5938	194	21	between	between	ADP
ajase-5938	194	22	-10.883	-10.883	PROPN
ajase-5938	194	23	and	and	CCONJ
ajase-5938	194	24	12.130	12.130	NUM
ajase-5938	194	25	.	.	PUNCT
ajase-5938	194	26	table	table	NOUN
ajase-5938	194	27	4	4	NUM
ajase-5938	194	28	further	far	ADV
ajase-5938	194	29	reveals	reveal	VERB
ajase-5938	194	30	that	that	SCONJ
ajase-5938	194	31	at	at	ADP
ajase-5938	194	32	(	(	PUNCT
ajase-5938	194	33	p=200)>(n=100	p=200)>(n=100	PROPN
ajase-5938	194	34	)	)	PUNCT
ajase-5938	194	35	the	the	DET
ajase-5938	194	36	simulated	simulated	ADJ
ajase-5938	194	37	response	response	NOUN
ajase-5938	194	38	-	-	PUNCT
ajase-5938	194	39	variable	variable	NOUN
ajase-5938	194	40	has	have	AUX
ajase-5938	194	41	mean	mean	NOUN
ajase-5938	194	42	of	of	ADP
ajase-5938	194	43	0.449	0.449	NUM
ajase-5938	194	44	ranges	range	NOUN
ajase-5938	194	45	between	between	ADP
ajase-5938	194	46	-11.441	-11.441	PROPN
ajase-5938	194	47	and	and	CCONJ
ajase-5938	194	48	12.423	12.423	NUM
ajase-5938	194	49	.	.	PUNCT
ajase-5938	195	1	based	base	VERB
ajase-5938	195	2	on	on	ADP
ajase-5938	195	3	the	the	DET
ajase-5938	195	4	foregoing	foregoing	NOUN
ajase-5938	195	5	it	it	PRON
ajase-5938	195	6	is	be	AUX
ajase-5938	195	7	quite	quite	ADV
ajase-5938	195	8	evident	evident	ADJ
ajase-5938	195	9	that	that	SCONJ
ajase-5938	195	10	simulated	simulate	VERB
ajase-5938	195	11	dataset	dataset	NOUN
ajase-5938	195	12	obviously	obviously	ADV
ajase-5938	195	13	exhibits	exhibit	VERB
ajase-5938	195	14	high	high	ADJ
ajase-5938	195	15	-	-	PUNCT
ajase-5938	195	16	dimensionality	dimensionality	NOUN
ajase-5938	195	17	problem	problem	NOUN
ajase-5938	195	18	(	(	PUNCT
ajase-5938	195	19	i.e.	i.e.	X
ajase-5938	195	20	p	p	X
ajase-5938	195	21	>	>	PUNCT
ajase-5938	195	22	n	n	CCONJ
ajase-5938	195	23	)	)	PUNCT
ajase-5938	195	24	,	,	PUNCT
ajase-5938	195	25	thus	thus	ADV
ajase-5938	195	26	necessitate	necessitate	ADJ
ajase-5938	195	27	advanced	advanced	ADJ
ajase-5938	195	28	methods	method	NOUN
ajase-5938	195	29	of	of	ADP
ajase-5938	195	30	regression	regression	NOUN
ajase-5938	195	31	estimation	estimation	NOUN
ajase-5938	195	32	other	other	ADJ
ajase-5938	195	33	than	than	ADP
ajase-5938	195	34	the	the	DET
ajase-5938	195	35	ols	ol	NOUN
ajase-5938	195	36	.	.	PUNCT
ajase-5938	196	1	performance	performance	NOUN
ajase-5938	196	2	assessment	assessment	NOUN
ajase-5938	196	3	of	of	ADP
ajase-5938	196	4	ridge	ridge	NOUN
ajase-5938	196	5	,	,	PUNCT
ajase-5938	196	6	lasso	lasso	NOUN
ajase-5938	196	7	,	,	PUNCT
ajase-5938	196	8	elastic	elastic	ADJ
ajase-5938	196	9	net	net	NOUN
ajase-5938	196	10	,	,	PUNCT
ajase-5938	196	11	scad	scad	NOUN
ajase-5938	196	12	and	and	CCONJ
ajase-5938	196	13	the	the	DET
ajase-5938	196	14	novel	novel	ADJ
ajase-5938	196	15	two	two	NUM
ajase-5938	196	16	-	-	PUNCT
ajase-5938	196	17	step	step	NOUN
ajase-5938	196	18	sparse	sparse	ADJ
ajase-5938	196	19	learning	learning	NOUN
ajase-5938	196	20	methods	method	NOUN
ajase-5938	196	21	under	under	ADP
ajase-5938	196	22	high	high	ADJ
ajase-5938	196	23	dimensionality	dimensionality	NOUN
ajase-5938	196	24	and	and	CCONJ
ajase-5938	196	25	multicollinearity	multicollinearity	NOUN
ajase-5938	196	26	this	this	DET
ajase-5938	196	27	section	section	NOUN
ajase-5938	196	28	presents	present	VERB
ajase-5938	196	29	and	and	CCONJ
ajase-5938	196	30	discusses	discuss	VERB
ajase-5938	196	31	the	the	DET
ajase-5938	196	32	performances	performance	NOUN
ajase-5938	196	33	of	of	ADP
ajase-5938	196	34	the	the	DET
ajase-5938	196	35	celebrated	celebrated	PROPN
ajase-5938	196	36	ridge	ridge	PROPN
ajase-5938	196	37	,	,	PUNCT
ajase-5938	196	38	lasso	lasso	NOUN
ajase-5938	196	39	,	,	PUNCT
ajase-5938	196	40	elastic	elastic	ADJ
ajase-5938	196	41	net	net	NOUN
ajase-5938	196	42	,	,	PUNCT
ajase-5938	196	43	scad	scad	NOUN
ajase-5938	196	44	and	and	CCONJ
ajase-5938	196	45	our	our	PRON
ajase-5938	196	46	table	table	NOUN
ajase-5938	196	47	4	4	NUM
ajase-5938	196	48	:	:	PUNCT
ajase-5938	196	49	summary	summary	NOUN
ajase-5938	196	50	statistics	statistic	NOUN
ajase-5938	196	51	of	of	ADP
ajase-5938	196	52	the	the	DET
ajase-5938	196	53	simulated	simulate	VERB
ajase-5938	196	54	response	response	NOUN
ajase-5938	196	55	variables	variable	NOUN
ajase-5938	196	56	and	and	CCONJ
ajase-5938	196	57	last	last	ADJ
ajase-5938	196	58	7	7	NUM
ajase-5938	196	59	independent	independent	ADJ
ajase-5938	196	60	variables	variable	NOUN
ajase-5938	196	61	at	at	ADP
ajase-5938	196	62	sample	sample	NOUN
ajase-5938	196	63	no	no	PRON
ajase-5938	196	64	of	of	ADP
ajase-5938	196	65	predictors	predictor	NOUN
ajase-5938	196	66	120	120	NUM
ajase-5938	196	67	variables	variable	NOUN
ajase-5938	196	68	y	y	PROPN
ajase-5938	196	69	x114	x114	PUNCT
ajase-5938	196	70	x115	x115	PUNCT
ajase-5938	196	71	x116	x116	PROPN
ajase-5938	197	1	x117	x117	PUNCT
ajase-5938	198	1	x118	x118	PUNCT
ajase-5938	199	1	x119	x119	PROPN
ajase-5938	200	1	x120	x120	PROPN
ajase-5938	200	2	mean	mean	VERB
ajase-5938	200	3	-0.086	-0.086	NUM
ajase-5938	200	4	0.132	0.132	NUM
ajase-5938	200	5	0.085	0.085	NUM
ajase-5938	200	6	-0.052	-0.052	NUM
ajase-5938	200	7	0.044	0.044	NUM
ajase-5938	200	8	-0.126	-0.126	NOUN
ajase-5938	200	9	-0.065	-0.065	PUNCT
ajase-5938	200	10	-0.008	-0.008	NOUN
ajase-5938	200	11	median	median	NOUN
ajase-5938	200	12	1.026	1.026	NUM
ajase-5938	200	13	0.158	0.158	NUM
ajase-5938	200	14	-0.005	-0.005	PUNCT
ajase-5938	200	15	-0.001	-0.001	VERB
ajase-5938	200	16	0.051	0.051	NUM
ajase-5938	200	17	-0.006	-0.006	PROPN
ajase-5938	200	18	0.016	0.016	NUM
ajase-5938	200	19	0.089	0.089	NUM
ajase-5938	200	20	min	min	NOUN
ajase-5938	200	21	.	.	PROPN
ajase-5938	200	22	-24.882	-24.882	PROPN
ajase-5938	201	1	-2.411	-2.411	PROPN
ajase-5938	201	2	-2.646	-2.646	PUNCT
ajase-5938	202	1	-3.345	-3.345	X
ajase-5938	202	2	-2.594	-2.594	X
ajase-5938	203	1	-2.825	-2.825	X
ajase-5938	203	2	-3.218	-3.218	NOUN
ajase-5938	203	3	-2.975	-2.975	PROPN
ajase-5938	203	4	max	max	PROPN
ajase-5938	203	5	.	.	PROPN
ajase-5938	204	1	23.759	23.759	NUM
ajase-5938	204	2	1.936	1.936	NUM
ajase-5938	204	3	2.944	2.944	NUM
ajase-5938	204	4	3.344	3.344	NUM
ajase-5938	204	5	2.349	2.349	NUM
ajase-5938	204	6	2.028	2.028	NUM
ajase-5938	204	7	2.685	2.685	NUM
ajase-5938	204	8	3.341	3.341	NUM
ajase-5938	204	9	no	no	PRON
ajase-5938	204	10	of	of	ADP
ajase-5938	204	11	predictors	predictor	NOUN
ajase-5938	204	12	150	150	NUM
ajase-5938	204	13	variables	variable	NOUN
ajase-5938	204	14	y	y	PROPN
ajase-5938	204	15	x144	x144	PROPN
ajase-5938	204	16	x145	x145	PROPN
ajase-5938	205	1	x146	x146	PROPN
ajase-5938	206	1	x147	x147	PUNCT
ajase-5938	206	2	x148	x148	PUNCT
ajase-5938	207	1	x149	x149	PUNCT
ajase-5938	208	1	x150	x150	PROPN
ajase-5938	208	2	mean	mean	VERB
ajase-5938	208	3	0.164	0.164	NUM
ajase-5938	208	4	0.047	0.047	NUM
ajase-5938	208	5	-0.042	-0.042	PUNCT
ajase-5938	209	1	-0.053	-0.053	NUM
ajase-5938	209	2	0.089	0.089	NUM
ajase-5938	210	1	-0.086	-0.086	NUM
ajase-5938	210	2	-0.202	-0.202	NUM
ajase-5938	210	3	-0.045	-0.045	PUNCT
ajase-5938	210	4	median	median	NOUN
ajase-5938	210	5	0.588	0.588	NUM
ajase-5938	210	6	0.020	0.020	NUM
ajase-5938	210	7	0.049	0.049	NUM
ajase-5938	210	8	-0.178	-0.178	NUM
ajase-5938	211	1	0.109	0.109	NUM
ajase-5938	211	2	-0.144	-0.144	NUM
ajase-5938	211	3	-0.263	-0.263	PUNCT
ajase-5938	211	4	-0.018	-0.018	PUNCT
ajase-5938	211	5	min	min	NOUN
ajase-5938	211	6	.	.	PUNCT
ajase-5938	211	7	-10.883	-10.883	PROPN
ajase-5938	211	8	-2.446	-2.446	NOUN
ajase-5938	211	9	-2.409	-2.409	X
ajase-5938	211	10	-2.554	-2.554	NOUN
ajase-5938	211	11	-2.487	-2.487	X
ajase-5938	211	12	-2.239	-2.239	PUNCT
ajase-5938	211	13	-2.630	-2.630	NOUN
ajase-5938	211	14	-2.769	-2.769	X
ajase-5938	211	15	max	max	PROPN
ajase-5938	211	16	.	.	PROPN
ajase-5938	212	1	12.130	12.130	NUM
ajase-5938	212	2	3.384	3.384	NUM
ajase-5938	212	3	2.371	2.371	NUM
ajase-5938	212	4	2.677	2.677	NUM
ajase-5938	212	5	2.796	2.796	NUM
ajase-5938	212	6	2.784	2.784	NUM
ajase-5938	212	7	2.064	2.064	NUM
ajase-5938	212	8	2.635	2.635	NUM
ajase-5938	212	9	no	no	NOUN
ajase-5938	212	10	of	of	ADP
ajase-5938	212	11	predictors	predictor	NOUN
ajase-5938	212	12	200	200	NUM
ajase-5938	212	13	variables	variable	NOUN
ajase-5938	212	14	y	y	PROPN
ajase-5938	212	15	x194	x194	PUNCT
ajase-5938	213	1	x195	x195	PUNCT
ajase-5938	214	1	x196	x196	PROPN
ajase-5938	214	2	x197	x197	PROPN
ajase-5938	215	1	x198	x198	PROPN
ajase-5938	216	1	x199	x199	PROPN
ajase-5938	217	1	x200	x200	PRON
ajase-5938	217	2	mean	mean	VERB
ajase-5938	217	3	0.449	0.449	NUM
ajase-5938	217	4	-0.146	-0.146	NOUN
ajase-5938	217	5	-0.047	-0.047	PUNCT
ajase-5938	217	6	-0.079	-0.079	PUNCT
ajase-5938	217	7	-0.077	-0.077	PUNCT
ajase-5938	217	8	-0.076	-0.076	PROPN
ajase-5938	217	9	-0.070	-0.070	NUM
ajase-5938	217	10	0.070	0.070	NUM
ajase-5938	217	11	median	median	NOUN
ajase-5938	217	12	0.333	0.333	NUM
ajase-5938	217	13	-0.125	-0.125	PROPN
ajase-5938	217	14	0.064	0.064	NUM
ajase-5938	217	15	-0.089	-0.089	X
ajase-5938	217	16	-0.036	-0.036	PROPN
ajase-5938	217	17	-0.184	-0.184	PUNCT
ajase-5938	217	18	0.053	0.053	NUM
ajase-5938	217	19	0.082	0.082	NUM
ajase-5938	217	20	min	min	NOUN
ajase-5938	217	21	.	.	PROPN
ajase-5938	217	22	-11.441	-11.441	NUM
ajase-5938	218	1	-2.284	-2.284	NUM
ajase-5938	218	2	-2.749	-2.749	NOUN
ajase-5938	218	3	-3.593	-3.593	PUNCT
ajase-5938	219	1	-2.269	-2.269	X
ajase-5938	219	2	-1.879	-1.879	ADV
ajase-5938	219	3	-3.431	-3.431	X
ajase-5938	219	4	-2.265	-2.265	PUNCT
ajase-5938	219	5	max	max	PROPN
ajase-5938	219	6	.	.	PROPN
ajase-5938	220	1	12.423	12.423	NUM
ajase-5938	220	2	2.781	2.781	NUM
ajase-5938	220	3	3.419	3.419	NUM
ajase-5938	220	4	3.087	3.087	NUM
ajase-5938	220	5	1.808	1.808	NUM
ajase-5938	220	6	2.134	2.134	NUM
ajase-5938	220	7	3.174	3.174	NUM
ajase-5938	220	8	3.102	3.102	NUM
ajase-5938	220	9	source	source	NOUN
ajase-5938	220	10	:	:	PUNCT
ajase-5938	220	11	researchers	researcher	NOUN
ajase-5938	220	12	’	'	PUNCT
ajase-5938	220	13	compilations	compilation	NOUN
ajase-5938	220	14	from	from	ADP
ajase-5938	220	15	r	r	NOUN
ajase-5938	220	16	-	-	PUNCT
ajase-5938	220	17	output	output	NOUN
ajase-5938	220	18	pa	pa	PROPN
ajase-5938	220	19	ge	ge	PROPN
ajase-5938	221	1	13	13	NUM
ajase-5938	221	2	3	3	NUM
ajase-5938	221	3	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5938	221	4	am	am	NOUN
ajase-5938	221	5	.	.	PUNCT
ajase-5938	222	1	j.	j.	PROPN
ajase-5938	222	2	appl	appl	PROPN
ajase-5938	222	3	.	.	PROPN
ajase-5938	223	1	stat	stat	PROPN
ajase-5938	223	2	.	.	PUNCT
ajase-5938	224	1	econ	econ	PROPN
ajase-5938	224	2	.	.	PUNCT
ajase-5938	225	1	4(1	4(1	X
ajase-5938	225	2	)	)	PUNCT
ajase-5938	226	1	127	127	NUM
ajase-5938	226	2	-	-	SYM
ajase-5938	226	3	140	140	NUM
ajase-5938	226	4	,	,	PUNCT
ajase-5938	226	5	2025	2025	NUM
ajase-5938	226	6	four	four	NUM
ajase-5938	226	7	novel	novel	ADJ
ajase-5938	226	8	two	two	NUM
ajase-5938	226	9	-	-	PUNCT
ajase-5938	226	10	steps	step	NOUN
ajase-5938	226	11	sparse	sparse	ADJ
ajase-5938	226	12	regression	regression	NOUN
ajase-5938	226	13	models	model	NOUN
ajase-5938	226	14	towards	towards	ADP
ajase-5938	226	15	providing	provide	VERB
ajase-5938	226	16	a	a	DET
ajase-5938	226	17	robust	robust	ADJ
ajase-5938	226	18	regression	regression	NOUN
ajase-5938	226	19	model	model	NOUN
ajase-5938	226	20	for	for	ADP
ajase-5938	226	21	the	the	DET
ajase-5938	226	22	simulated	simulate	VERB
ajase-5938	226	23	response	response	NOUN
ajase-5938	226	24	-	-	PUNCT
ajase-5938	226	25	variables	variable	NOUN
ajase-5938	226	26	under	under	ADP
ajase-5938	226	27	the	the	DET
ajase-5938	226	28	high	high	ADJ
ajase-5938	226	29	dimensionality	dimensionality	NOUN
ajase-5938	226	30	scenarios	scenario	NOUN
ajase-5938	226	31	(	(	PUNCT
ajase-5938	226	32	as	as	SCONJ
ajase-5938	226	33	presented	present	VERB
ajase-5938	226	34	in	in	ADP
ajase-5938	226	35	the	the	DET
ajase-5938	226	36	previous	previous	ADJ
ajase-5938	226	37	section	section	NOUN
ajase-5938	226	38	)	)	PUNCT
ajase-5938	226	39	and	and	CCONJ
ajase-5938	226	40	multicollinearity	multicollinearity	NOUN
ajase-5938	226	41	problems	problem	NOUN
ajase-5938	226	42	.	.	PUNCT
ajase-5938	227	1	table	table	NOUN
ajase-5938	227	2	5	5	NUM
ajase-5938	227	3	presents	present	VERB
ajase-5938	227	4	the	the	DET
ajase-5938	227	5	assessment	assessment	NOUN
ajase-5938	227	6	results	result	NOUN
ajase-5938	227	7	(	(	PUNCT
ajase-5938	227	8	i.e.	i.e.	X
ajase-5938	227	9	mses	ms	NOUN
ajase-5938	227	10	)	)	PUNCT
ajase-5938	227	11	of	of	ADP
ajase-5938	227	12	each	each	DET
ajase-5938	227	13	ridge	ridge	NOUN
ajase-5938	227	14	,	,	PUNCT
ajase-5938	227	15	lasso	lasso	NOUN
ajase-5938	227	16	,	,	PUNCT
ajase-5938	227	17	elastic	elastic	ADJ
ajase-5938	227	18	-	-	PUNCT
ajase-5938	227	19	net	net	NOUN
ajase-5938	227	20	,	,	PUNCT
ajase-5938	227	21	scad	scad	NOUN
ajase-5938	227	22	and	and	CCONJ
ajase-5938	227	23	the	the	DET
ajase-5938	227	24	novel	novel	ADJ
ajase-5938	227	25	twostep	twostep	NOUN
ajase-5938	227	26	sparse	sparse	ADJ
ajase-5938	227	27	learning	learn	VERB
ajase-5938	227	28	regression	regression	NOUN
ajase-5938	227	29	models	model	NOUN
ajase-5938	227	30	under	under	ADP
ajase-5938	227	31	problem	problem	NOUN
ajase-5938	227	32	of	of	ADP
ajase-5938	227	33	high	high	ADJ
ajase-5938	227	34	dimensionality	dimensionality	NOUN
ajase-5938	227	35	and	and	CCONJ
ajase-5938	227	36	multicollinearity	multicollinearity	NOUN
ajase-5938	227	37	at	at	ADP
ajase-5938	227	38	small	small	ADJ
ajase-5938	227	39	sample	sample	NOUN
ajase-5938	227	40	sizes	size	NOUN
ajase-5938	227	41	(	(	PUNCT
ajase-5938	227	42	i.e.	i.e.	X
ajase-5938	227	43	30	30	NUM
ajase-5938	227	44	and	and	CCONJ
ajase-5938	227	45	50	50	NUM
ajase-5938	227	46	)	)	PUNCT
ajase-5938	227	47	.	.	PUNCT
ajase-5938	228	1	explicitly	explicitly	ADV
ajase-5938	228	2	,	,	PUNCT
ajase-5938	228	3	for	for	ADP
ajase-5938	228	4	sample	sample	NOUN
ajase-5938	228	5	size	size	NOUN
ajase-5938	228	6	30	30	NUM
ajase-5938	228	7	at	at	ADP
ajase-5938	228	8	10	10	NUM
ajase-5938	228	9	%	%	NOUN
ajase-5938	228	10	sparsity	sparsity	NOUN
ajase-5938	228	11	table	table	NOUN
ajase-5938	228	12	5	5	NUM
ajase-5938	228	13	reveals	reveal	VERB
ajase-5938	228	14	lowest	low	ADJ
ajase-5938	228	15	mses	ms	NOUN
ajase-5938	228	16	of	of	ADP
ajase-5938	228	17	0.001	0.001	NUM
ajase-5938	228	18	,	,	PUNCT
ajase-5938	228	19	0.0167	0.0167	NUM
ajase-5938	228	20	and	and	CCONJ
ajase-5938	228	21	0.00006	0.00006	NUM
ajase-5938	228	22	for	for	ADP
ajase-5938	228	23	lasso	lasso	NOUN
ajase-5938	228	24	estimator	estimator	NOUN
ajase-5938	228	25	when	when	SCONJ
ajase-5938	228	26	p=50	p=50	PROPN
ajase-5938	228	27	(	(	PUNCT
ajase-5938	228	28	i.e.	i.e.	X
ajase-5938	228	29	low	low	ADJ
ajase-5938	228	30	high	high	ADV
ajase-5938	228	31	-	-	PUNCT
ajase-5938	228	32	dimensional	dimensional	ADJ
ajase-5938	228	33	)	)	PUNCT
ajase-5938	228	34	at	at	ADP
ajase-5938	228	35	low	low	ADJ
ajase-5938	228	36	correlation	correlation	NOUN
ajase-5938	228	37	(	(	PUNCT
ajase-5938	228	38	r=0.1	r=0.1	NOUN
ajase-5938	228	39	)	)	PUNCT
ajase-5938	228	40	,	,	PUNCT
ajase-5938	228	41	moderate	moderate	ADJ
ajase-5938	228	42	correlation	correlation	NOUN
ajase-5938	228	43	(	(	PUNCT
ajase-5938	228	44	r=0.5	r=0.5	NOUN
ajase-5938	228	45	)	)	PUNCT
ajase-5938	228	46	and	and	CCONJ
ajase-5938	228	47	when	when	SCONJ
ajase-5938	228	48	p=200	p=200	PROPN
ajase-5938	228	49	at	at	ADP
ajase-5938	228	50	moderate	moderate	ADJ
ajase-5938	228	51	correlation	correlation	NOUN
ajase-5938	228	52	(	(	PUNCT
ajase-5938	228	53	r=0.5	r=0.5	NOUN
ajase-5938	228	54	)	)	PUNCT
ajase-5938	228	55	levels	level	NOUN
ajase-5938	228	56	respectively	respectively	ADV
ajase-5938	228	57	.	.	PUNCT
ajase-5938	229	1	the	the	DET
ajase-5938	229	2	table	table	NOUN
ajase-5938	229	3	further	far	ADV
ajase-5938	229	4	depicts	depict	VERB
ajase-5938	229	5	lowest	low	ADJ
ajase-5938	229	6	mses	ms	NOUN
ajase-5938	229	7	for	for	ADP
ajase-5938	229	8	the	the	DET
ajase-5938	229	9	novel	novel	ADJ
ajase-5938	229	10	spcrlasso	spcrlasso	NOUN
ajase-5938	229	11	estimator	estimator	NOUN
ajase-5938	229	12	when	when	SCONJ
ajase-5938	229	13	p=50	p=50	PROPN
ajase-5938	229	14	;	;	PUNCT
ajase-5938	229	15	r=0.9	r=0.9	NOUN
ajase-5938	229	16	(	(	PUNCT
ajase-5938	229	17	mse	mse	PROPN
ajase-5938	229	18	=	=	SYM
ajase-5938	229	19	0.0143	0.0143	NUM
ajase-5938	229	20	)	)	PUNCT
ajase-5938	229	21	i.e.	i.e.	X
ajase-5938	229	22	low	low	ADJ
ajase-5938	229	23	high	high	ADJ
ajase-5938	229	24	-	-	PUNCT
ajase-5938	229	25	dimension	dimension	NOUN
ajase-5938	229	26	with	with	ADP
ajase-5938	229	27	high	high	ADJ
ajase-5938	229	28	correlation	correlation	NOUN
ajase-5938	229	29	,	,	PUNCT
ajase-5938	229	30	p=70	p=70	ADP
ajase-5938	229	31	;	;	PUNCT
ajase-5938	229	32	r=0.1	r=0.1	NOUN
ajase-5938	229	33	(	(	PUNCT
ajase-5938	229	34	mse=0.0071),p=70;r=0.5	mse=0.0071),p=70;r=0.5	PROPN
ajase-5938	229	35	(	(	PUNCT
ajase-5938	229	36	mse=0.0025	mse=0.0025	NOUN
ajase-5938	229	37	)	)	PUNCT
ajase-5938	229	38	&	&	CCONJ
ajase-5938	229	39	p=70	p=70	PROPN
ajase-5938	229	40	;	;	PUNCT
ajase-5938	229	41	r=0.9	r=0.9	NOUN
ajase-5938	229	42	(	(	PUNCT
ajase-5938	229	43	mse=0.0671	mse=0.0671	NOUN
ajase-5938	229	44	)	)	PUNCT
ajase-5938	229	45	i.e.	i.e.	X
ajase-5938	229	46	moderate	moderate	ADJ
ajase-5938	229	47	high	high	ADV
ajase-5938	229	48	-	-	PUNCT
ajase-5938	229	49	dimensional	dimensional	ADJ
ajase-5938	229	50	with	with	ADP
ajase-5938	229	51	any	any	DET
ajase-5938	229	52	table	table	NOUN
ajase-5938	229	53	5	5	NUM
ajase-5938	229	54	:	:	PUNCT
ajase-5938	229	55	summary	summary	NOUN
ajase-5938	229	56	statistics	statistic	NOUN
ajase-5938	229	57	of	of	ADP
ajase-5938	229	58	the	the	DET
ajase-5938	229	59	simulated	simulate	VERB
ajase-5938	229	60	response	response	NOUN
ajase-5938	229	61	variables	variable	NOUN
ajase-5938	229	62	and	and	CCONJ
ajase-5938	229	63	last	last	ADJ
ajase-5938	229	64	7	7	NUM
ajase-5938	229	65	independent	independent	ADJ
ajase-5938	229	66	variables	variable	NOUN
ajase-5938	229	67	at	at	ADP
ajase-5938	229	68	sample	sample	NOUN
ajase-5938	229	69	n	n	PRON
ajase-5938	229	70	sparsity	sparsity	NOUN
ajase-5938	229	71	10	10	NUM
ajase-5938	229	72	p	p	NOUN
ajase-5938	229	73	50	50	NUM
ajase-5938	229	74	70	70	NUM
ajase-5938	229	75	200	200	NUM
ajase-5938	229	76	r	r	NOUN
ajase-5938	229	77	0.1	0.1	NUM
ajase-5938	229	78	0.5	0.5	NUM
ajase-5938	229	79	0.9	0.9	NUM
ajase-5938	229	80	0.1	0.1	NUM
ajase-5938	229	81	0.5	0.5	NUM
ajase-5938	229	82	0.9	0.9	NUM
ajase-5938	229	83	0.1	0.1	NUM
ajase-5938	229	84	0.5	0.5	NUM
ajase-5938	229	85	0.9	0.9	NUM
ajase-5938	229	86	30	30	NUM
ajase-5938	229	87	ridge	ridge	NOUN
ajase-5938	229	88	22.2261	22.2261	NUM
ajase-5938	229	89	14.7271	14.7271	NUM
ajase-5938	229	90	5.5648	5.5648	NUM
ajase-5938	229	91	4.7699	4.7699	NUM
ajase-5938	229	92	7.8126	7.8126	NUM
ajase-5938	229	93	4.7783	4.7783	NUM
ajase-5938	229	94	2.8892	2.8892	NUM
ajase-5938	229	95	8.78595	8.78595	NUM
ajase-5938	229	96	4.3978	4.3978	NUM
ajase-5938	229	97	lasso	lasso	NOUN
ajase-5938	229	98	0.0010	0.0010	NUM
ajase-5938	229	99	0.0167	0.0167	NUM
ajase-5938	229	100	0.1172	0.1172	NUM
ajase-5938	229	101	0.0638	0.0638	NUM
ajase-5938	229	102	0.0211	0.0211	NUM
ajase-5938	229	103	0.1235	0.1235	NUM
ajase-5938	229	104	0.000019	0.000019	NUM
ajase-5938	229	105	0.000063	0.000063	NUM
ajase-5938	229	106	0.00516	0.00516	NUM
ajase-5938	229	107	enet	enet	NOUN
ajase-5938	229	108	0.0041	0.0041	NUM
ajase-5938	229	109	0.0269	0.0269	NUM
ajase-5938	229	110	0.1988	0.1988	NUM
ajase-5938	229	111	0.0334	0.0334	NUM
ajase-5938	229	112	0.0192	0.0192	NUM
ajase-5938	229	113	0.2428	0.2428	NUM
ajase-5938	229	114	0.000082	0.000082	NUM
ajase-5938	229	115	0.000372	0.000372	NUM
ajase-5938	229	116	0.01729	0.01729	NUM
ajase-5938	229	117	scad	scad	NOUN
ajase-5938	229	118	2.5382	2.5382	NUM
ajase-5938	229	119	0.7175	0.7175	NUM
ajase-5938	229	120	1.2063	1.2063	NUM
ajase-5938	229	121	0.1656	0.1656	NUM
ajase-5938	229	122	0.3210	0.3210	NUM
ajase-5938	229	123	0.9581	0.9581	NUM
ajase-5938	229	124	0.1454	0.1454	NUM
ajase-5938	229	125	0.2581	0.2581	NUM
ajase-5938	229	126	1.34518	1.34518	NUM
ajase-5938	229	127	spcr	spcr	ADJ
ajase-5938	229	128	-	-	PUNCT
ajase-5938	229	129	ridge	ridge	NOUN
ajase-5938	229	130	1.7273	1.7273	NUM
ajase-5938	229	131	1.5237	1.5237	NUM
ajase-5938	229	132	0.5399	0.5399	NUM
ajase-5938	229	133	0.6035	0.6035	NUM
ajase-5938	229	134	0.2873	0.2873	NUM
ajase-5938	230	1	0.5755	0.5755	NUM
ajase-5938	230	2	0.0539	0.0539	NUM
ajase-5938	230	3	0.4525	0.4525	NUM
ajase-5938	230	4	0.17657	0.17657	NUM
ajase-5938	230	5	spcr	spcr	ADJ
ajase-5938	230	6	-	-	PUNCT
ajase-5938	230	7	lasso	lasso	NOUN
ajase-5938	230	8	0.3215	0.3215	NUM
ajase-5938	230	9	0.1458	0.1458	NUM
ajase-5938	230	10	0.0143	0.0143	NUM
ajase-5938	230	11	0.0071	0.0071	NUM
ajase-5938	230	12	0.0025	0.0025	NUM
ajase-5938	230	13	0.0671	0.0671	NUM
ajase-5938	230	14	0.0000004	0.0000004	NUM
ajase-5938	230	15	0.007986	0.007986	NUM
ajase-5938	230	16	0.003849	0.003849	NUM
ajase-5938	230	17	spcr	spcr	ADJ
ajase-5938	230	18	-	-	PUNCT
ajase-5938	230	19	enet	enet	NOUN
ajase-5938	230	20	1.0575	1.0575	NUM
ajase-5938	230	21	0.2012	0.2012	NUM
ajase-5938	230	22	0.0351	0.0351	NOUN
ajase-5938	230	23	0.0672	0.0672	NUM
ajase-5938	230	24	0.0342	0.0342	NUM
ajase-5938	230	25	0.0997	0.0997	NUM
ajase-5938	230	26	0.000696	0.000696	NUM
ajase-5938	230	27	0.07211	0.07211	NUM
ajase-5938	230	28	0.011083	0.011083	NUM
ajase-5938	230	29	spcr	spcr	ADJ
ajase-5938	230	30	-	-	PUNCT
ajase-5938	230	31	scad	scad	NOUN
ajase-5938	230	32	0.2566	0.2566	NUM
ajase-5938	230	33	0.0348	0.0348	NUM
ajase-5938	230	34	0.0577	0.0577	NUM
ajase-5938	230	35	0.1156	0.1156	NUM
ajase-5938	230	36	0.0055	0.0055	NUM
ajase-5938	230	37	0.1057	0.1057	NUM
ajase-5938	230	38	0.0001347	0.0001347	NUM
ajase-5938	230	39	0.04886	0.04886	NUM
ajase-5938	230	40	0.044825	0.044825	NUM
ajase-5938	230	41	sparsity	sparsity	NOUN
ajase-5938	230	42	30	30	NUM
ajase-5938	230	43	ridge	ridge	NOUN
ajase-5938	230	44	38.9309	38.9309	NUM
ajase-5938	230	45	34.5543	34.5543	NUM
ajase-5938	230	46	5.0801	5.0801	NUM
ajase-5938	230	47	51.7066	51.7066	NUM
ajase-5938	230	48	26.5211	26.5211	NUM
ajase-5938	230	49	11.1444	11.1444	NUM
ajase-5938	230	50	15.8539	15.8539	NUM
ajase-5938	230	51	12.43887	12.43887	NUM
ajase-5938	230	52	4.99299	4.99299	NUM
ajase-5938	230	53	lasso	lasso	NOUN
ajase-5938	230	54	0.0078	0.0078	NUM
ajase-5938	230	55	0.7775	0.7775	NUM
ajase-5938	230	56	0.7791	0.7791	NUM
ajase-5938	230	57	0.0516	0.0516	NUM
ajase-5938	230	58	0.0462	0.0462	NUM
ajase-5938	230	59	0.0665	0.0665	NUM
ajase-5938	230	60	0.04935	0.04935	NUM
ajase-5938	231	1	0.000873	0.000873	NUM
ajase-5938	231	2	0.00397	0.00397	NUM
ajase-5938	231	3	enet	enet	NOUN
ajase-5938	231	4	0.0871	0.0871	NUM
ajase-5938	231	5	1.2908	1.2908	NUM
ajase-5938	231	6	0.4971	0.4971	NUM
ajase-5938	231	7	0.1924	0.1924	NUM
ajase-5938	231	8	0.0218	0.0218	NUM
ajase-5938	231	9	0.1709	0.1709	NUM
ajase-5938	231	10	0.17285	0.17285	NUM
ajase-5938	231	11	0.000262	0.000262	NUM
ajase-5938	231	12	0.01215	0.01215	NUM
ajase-5938	231	13	scad	scad	NOUN
ajase-5938	231	14	3.9459	3.9459	NUM
ajase-5938	231	15	0.9614	0.9614	NUM
ajase-5938	231	16	1.2167	1.2167	NUM
ajase-5938	231	17	1.6763	1.6763	NUM
ajase-5938	231	18	0.9853	0.9853	NUM
ajase-5938	231	19	4.9219	4.9219	NUM
ajase-5938	231	20	0.21469	0.21469	NUM
ajase-5938	231	21	0.81469	0.81469	NUM
ajase-5938	231	22	3.17956	3.17956	NUM
ajase-5938	231	23	spcr	spcr	ADJ
ajase-5938	231	24	-	-	PUNCT
ajase-5938	231	25	ridge	ridge	NOUN
ajase-5938	231	26	38.7535	38.7535	NUM
ajase-5938	231	27	28.7759	28.7759	NUM
ajase-5938	231	28	17.0134	17.0134	NUM
ajase-5938	231	29	34.2091	34.2091	NUM
ajase-5938	231	30	22.8729	22.8729	NUM
ajase-5938	231	31	175.7768	175.7768	NUM
ajase-5938	231	32	15.5972	15.5972	NUM
ajase-5938	231	33	33.1529	33.1529	NUM
ajase-5938	231	34	15.2773	15.2773	NUM
ajase-5938	231	35	spcr	spcr	ADJ
ajase-5938	231	36	-	-	PUNCT
ajase-5938	231	37	lasso	lasso	NOUN
ajase-5938	231	38	0.9465	0.9465	NUM
ajase-5938	231	39	1.8579	1.8579	NUM
ajase-5938	231	40	0.3021	0.3021	NUM
ajase-5938	231	41	0.0269	0.0269	NUM
ajase-5938	231	42	0.0173	0.0173	NUM
ajase-5938	231	43	0.0511	0.0511	NUM
ajase-5938	231	44	0.04379	0.04379	NUM
ajase-5938	231	45	0.06934	0.06934	NUM
ajase-5938	231	46	0.17663	0.17663	NUM
ajase-5938	231	47	spcr	spcr	ADJ
ajase-5938	231	48	-	-	PUNCT
ajase-5938	231	49	enet	enet	NOUN
ajase-5938	231	50	2.1343	2.1343	NUM
ajase-5938	231	51	5.9747	5.9747	NUM
ajase-5938	231	52	0.9162	0.9162	NUM
ajase-5938	231	53	7.4662	7.4662	NUM
ajase-5938	231	54	0.0632	0.0632	NUM
ajase-5938	231	55	0.2739	0.2739	NUM
ajase-5938	231	56	0.11784	0.11784	NUM
ajase-5938	231	57	0.30761	0.30761	NUM
ajase-5938	231	58	0.43285	0.43285	NUM
ajase-5938	231	59	spcr	spcr	ADJ
ajase-5938	231	60	-	-	PUNCT
ajase-5938	231	61	scad	scad	NOUN
ajase-5938	231	62	0.9149	0.9149	NUM
ajase-5938	231	63	1.6942	1.6942	NUM
ajase-5938	231	64	1.1840	1.1840	NUM
ajase-5938	231	65	1.4363	1.4363	NUM
ajase-5938	231	66	0.0753	0.0753	NUM
ajase-5938	231	67	0.4019	0.4019	NUM
ajase-5938	231	68	0.08979	0.08979	NUM
ajase-5938	231	69	0.07658	0.07658	NUM
ajase-5938	231	70	0.26952	0.26952	NUM
ajase-5938	231	71	sparsity	sparsity	NOUN
ajase-5938	231	72	10	10	NUM
ajase-5938	231	73	p	p	NOUN
ajase-5938	231	74	50	50	NUM
ajase-5938	231	75	70	70	NUM
ajase-5938	231	76	200	200	NUM
ajase-5938	231	77	50	50	NUM
ajase-5938	231	78	ridge	ridge	NOUN
ajase-5938	231	79	14.27529	14.27529	NUM
ajase-5938	231	80	13.14787	13.14787	NUM
ajase-5938	231	81	3.99444	3.99444	NUM
ajase-5938	231	82	7.59169	7.59169	NUM
ajase-5938	231	83	11.5585	11.5585	NUM
ajase-5938	231	84	2.51970	2.51970	NUM
ajase-5938	231	85	10.93393	10.93393	NUM
ajase-5938	231	86	17.68289	17.68289	NUM
ajase-5938	231	87	3.68972	3.68972	NUM
ajase-5938	231	88	lasso	lasso	NOUN
ajase-5938	231	89	0.024283	0.024283	NUM
ajase-5938	231	90	0.01111	0.01111	NUM
ajase-5938	231	91	0.26847	0.26847	NUM
ajase-5938	231	92	0.001597	0.001597	NUM
ajase-5938	231	93	0.00047	0.00047	NUM
ajase-5938	231	94	0.12309	0.12309	NUM
ajase-5938	231	95	0.000056	0.000056	NUM
ajase-5938	231	96	0.00016	0.00016	NUM
ajase-5938	231	97	0.00761	0.00761	NUM
ajase-5938	231	98	enet	enet	NOUN
ajase-5938	231	99	0.035625	0.035625	NUM
ajase-5938	231	100	0.03055	0.03055	NUM
ajase-5938	231	101	0.32753	0.32753	NUM
ajase-5938	231	102	0.002292	0.002292	NUM
ajase-5938	231	103	0.00199	0.00199	NUM
ajase-5938	231	104	0.10761	0.10761	NUM
ajase-5938	231	105	0.005829	0.005829	NUM
ajase-5938	231	106	0.00089	0.00089	NUM
ajase-5938	231	107	0.03019	0.03019	NUM
ajase-5938	231	108	scad	scad	NOUN
ajase-5938	231	109	0.137990	0.137990	NUM
ajase-5938	231	110	0.37474	0.37474	NUM
ajase-5938	231	111	0.71736	0.71736	NUM
ajase-5938	231	112	0.135452	0.135452	NUM
ajase-5938	231	113	0.28281	0.28281	NUM
ajase-5938	231	114	0.34494	0.34494	NUM
ajase-5938	231	115	1.51859	1.51859	NUM
ajase-5938	231	116	0.20688	0.20688	NUM
ajase-5938	231	117	0.81663	0.81663	NUM
ajase-5938	231	118	spcr	spcr	ADJ
ajase-5938	231	119	-	-	PUNCT
ajase-5938	231	120	ridge	ridge	NOUN
ajase-5938	231	121	1.59547	1.59547	NUM
ajase-5938	231	122	1.50312	1.50312	NUM
ajase-5938	231	123	0.69733	0.69733	NUM
ajase-5938	231	124	0.961469	0.961469	NUM
ajase-5938	231	125	0.41246	0.41246	NUM
ajase-5938	231	126	0.3449	0.3449	NUM
ajase-5938	231	127	1.16773	1.16773	NUM
ajase-5938	231	128	0.14019	0.14019	NUM
ajase-5938	231	129	0.19149	0.19149	NUM
ajase-5938	231	130	spcr	spcr	ADJ
ajase-5938	231	131	-	-	PUNCT
ajase-5938	231	132	lasso	lasso	NOUN
ajase-5938	231	133	0.071019	0.071019	NUM
ajase-5938	231	134	0.20712	0.20712	NUM
ajase-5938	231	135	0.07296	0.07296	NUM
ajase-5938	231	136	0.031501	0.031501	NUM
ajase-5938	231	137	0.00401	0.00401	NUM
ajase-5938	231	138	0.14790	0.14790	NUM
ajase-5938	231	139	0.0000021	0.0000021	NUM
ajase-5938	231	140	0.02395	0.02395	NUM
ajase-5938	231	141	0.00096	0.00096	NUM
ajase-5938	231	142	spcr	spcr	ADJ
ajase-5938	231	143	-	-	PUNCT
ajase-5938	231	144	enet	enet	NOUN
ajase-5938	231	145	01.80131	01.80131	NUM
ajase-5938	231	146	0.450867	0.450867	NUM
ajase-5938	231	147	0.08955	0.08955	NUM
ajase-5938	231	148	0.065121	0.065121	NUM
ajase-5938	231	149	0.03633	0.03633	NUM
ajase-5938	231	150	0.20077	0.20077	NUM
ajase-5938	231	151	0.009640	0.009640	NUM
ajase-5938	231	152	0.06199	0.06199	NUM
ajase-5938	231	153	0.00076	0.00076	NUM
ajase-5938	231	154	spcr	spcr	ADJ
ajase-5938	231	155	-	-	PUNCT
ajase-5938	231	156	scad	scad	NOUN
ajase-5938	231	157	0.002342	0.002342	NUM
ajase-5938	231	158	0.20008	0.20008	NUM
ajase-5938	231	159	0.27585	0.27585	NUM
ajase-5938	231	160	0.008672	0.008672	NUM
ajase-5938	231	161	0.00831	0.00831	NUM
ajase-5938	231	162	0.05008	0.05008	NUM
ajase-5938	231	163	0.001545	0.001545	NUM
ajase-5938	231	164	0.00298	0.00298	NUM
ajase-5938	231	165	0.00113	0.00113	NUM
ajase-5938	231	166	sparsity	sparsity	NOUN
ajase-5938	231	167	30	30	NUM
ajase-5938	231	168	ridge	ridge	NOUN
ajase-5938	231	169	28.72535	28.72535	NUM
ajase-5938	231	170	24.78267	24.78267	NUM
ajase-5938	231	171	10.92322	10.92322	NUM
ajase-5938	231	172	46.11221	46.11221	NUM
ajase-5938	231	173	39.1727	39.1727	NUM
ajase-5938	231	174	9.20752	9.20752	NUM
ajase-5938	231	175	25.78999	25.78999	NUM
ajase-5938	231	176	27.94949	27.94949	NUM
ajase-5938	231	177	12.2576	12.2576	NUM
ajase-5938	231	178	lasso	lasso	NOUN
ajase-5938	231	179	0.001752	0.001752	NUM
ajase-5938	231	180	0.04827	0.04827	NUM
ajase-5938	231	181	0.45687	0.45687	NUM
ajase-5938	231	182	0.00135	0.00135	NUM
ajase-5938	231	183	0.00376	0.00376	NUM
ajase-5938	231	184	0.12701	0.12701	NUM
ajase-5938	231	185	0.03429	0.03429	NUM
ajase-5938	231	186	0.05793	0.05793	NUM
ajase-5938	231	187	0.04912	0.04912	NUM
ajase-5938	231	188	enet	enet	NOUN
ajase-5938	231	189	0.00692	0.00692	NUM
ajase-5938	231	190	0.12742	0.12742	NUM
ajase-5938	231	191	0.76926	0.76926	NUM
ajase-5938	231	192	0.00513	0.00513	NUM
ajase-5938	231	193	0.01369	0.01369	NUM
ajase-5938	231	194	0.28181	0.28181	NUM
ajase-5938	231	195	0.35494	0.35494	NUM
ajase-5938	231	196	0.20659	0.20659	NUM
ajase-5938	231	197	0.27805	0.27805	NUM
ajase-5938	231	198	scad	scad	NOUN
ajase-5938	231	199	0.39620	0.39620	NUM
ajase-5938	231	200	1.59569	1.59569	NUM
ajase-5938	231	201	4.17981	4.17981	NUM
ajase-5938	231	202	2.22021	2.22021	NUM
ajase-5938	231	203	4.83648	4.83648	NUM
ajase-5938	231	204	1.49247	1.49247	NUM
ajase-5938	231	205	0.49354	0.49354	NUM
ajase-5938	231	206	0.36052	0.36052	NUM
ajase-5938	231	207	23.3093	23.3093	NUM
ajase-5938	231	208	spcr	spcr	ADJ
ajase-5938	231	209	-	-	PUNCT
ajase-5938	231	210	ridge	ridge	NOUN
ajase-5938	231	211	1.790068	1.790068	NUM
ajase-5938	231	212	2.43327	2.43327	NUM
ajase-5938	231	213	1.00552	1.00552	NUM
ajase-5938	231	214	1.90385	1.90385	NUM
ajase-5938	231	215	0.99053	0.99053	NUM
ajase-5938	231	216	0.91456	0.91456	NUM
ajase-5938	231	217	19.86799	19.86799	NUM
ajase-5938	231	218	2.06924	2.06924	NUM
ajase-5938	231	219	0.70623	0.70623	NUM
ajase-5938	231	220	spcr	spcr	ADJ
ajase-5938	231	221	-	-	PUNCT
ajase-5938	231	222	lasso	lasso	NOUN
ajase-5938	231	223	0.15863	0.15863	NOUN
ajase-5938	231	224	0.31728	0.31728	NUM
ajase-5938	232	1	0.25098	0.25098	NUM
ajase-5938	232	2	0.04437	0.04437	NUM
ajase-5938	232	3	0.04119	0.04119	NUM
ajase-5938	232	4	0.01670	0.01670	NUM
ajase-5938	232	5	0.30157	0.30157	NUM
ajase-5938	232	6	0.09142	0.09142	NUM
ajase-5938	232	7	0.00785	0.00785	NUM
ajase-5938	232	8	spcr	spcr	ADJ
ajase-5938	232	9	-	-	PUNCT
ajase-5938	232	10	enet	enet	NOUN
ajase-5938	232	11	0.08939	0.08939	NUM
ajase-5938	232	12	0.54537	0.54537	NUM
ajase-5938	232	13	0.30180	0.30180	NUM
ajase-5938	232	14	0.26648	0.26648	NUM
ajase-5938	232	15	0.05336	0.05336	NUM
ajase-5938	232	16	0.01793	0.01793	NUM
ajase-5938	232	17	1.04003	1.04003	NUM
ajase-5938	232	18	0.23314	0.23314	NUM
ajase-5938	232	19	0.00523	0.00523	NUM
ajase-5938	232	20	spcr	spcr	ADJ
ajase-5938	232	21	-	-	PUNCT
ajase-5938	232	22	scad	scad	NOUN
ajase-5938	232	23	0.05241	0.05241	NUM
ajase-5938	232	24	0.79069	0.79069	NUM
ajase-5938	232	25	0.23878	0.23878	NUM
ajase-5938	232	26	0.07853	0.07853	NUM
ajase-5938	232	27	1.32367	1.32367	NUM
ajase-5938	232	28	0.01216	0.01216	NUM
ajase-5938	232	29	0.42382	0.42382	NUM
ajase-5938	232	30	0.08032	0.08032	NUM
ajase-5938	232	31	0.00686	0.00686	NUM
ajase-5938	232	32	source	source	NOUN
ajase-5938	232	33	:	:	PUNCT
ajase-5938	232	34	researchers	researcher	NOUN
ajase-5938	232	35	’	'	PUNCT
ajase-5938	232	36	compilations	compilation	NOUN
ajase-5938	232	37	from	from	ADP
ajase-5938	232	38	r	r	NOUN
ajase-5938	232	39	-	-	PUNCT
ajase-5938	232	40	outputs	outputs	NOUN
ajase-5938	232	41	pa	pa	PROPN
ajase-5938	232	42	ge	ge	PROPN
ajase-5938	232	43	13	13	NUM
ajase-5938	232	44	4	4	NUM
ajase-5938	232	45	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5938	232	46	am	am	NOUN
ajase-5938	232	47	.	.	PUNCT
ajase-5938	233	1	j.	j.	PROPN
ajase-5938	233	2	appl	appl	PROPN
ajase-5938	233	3	.	.	PROPN
ajase-5938	234	1	stat	stat	PROPN
ajase-5938	234	2	.	.	PUNCT
ajase-5938	235	1	econ	econ	PROPN
ajase-5938	235	2	.	.	PUNCT
ajase-5938	236	1	4(1	4(1	X
ajase-5938	236	2	)	)	PUNCT
ajase-5938	237	1	127	127	NUM
ajase-5938	237	2	-	-	SYM
ajase-5938	237	3	140	140	NUM
ajase-5938	237	4	,	,	PUNCT
ajase-5938	237	5	2025	2025	NUM
ajase-5938	237	6	correlation	correlation	NOUN
ajase-5938	237	7	levels	level	NOUN
ajase-5938	237	8	,	,	PUNCT
ajase-5938	237	9	and	and	CCONJ
ajase-5938	237	10	p=200	p=200	PROPN
ajase-5938	237	11	;	;	PUNCT
ajase-5938	237	12	r=0.1	r=0.1	NOUN
ajase-5938	237	13	(	(	PUNCT
ajase-5938	237	14	mse=0.0000004	mse=0.0000004	PROPN
ajase-5938	237	15	)	)	PUNCT
ajase-5938	237	16	&	&	CCONJ
ajase-5938	237	17	p=200	p=200	PROPN
ajase-5938	237	18	;	;	PUNCT
ajase-5938	237	19	r=0.9	r=0.9	NOUN
ajase-5938	237	20	(	(	PUNCT
ajase-5938	237	21	mse=0.003849	mse=0.003849	NOUN
ajase-5938	237	22	)	)	PUNCT
ajase-5938	237	23	i.e.	i.e.	X
ajase-5938	237	24	high	high	ADV
ajase-5938	237	25	-	-	PUNCT
ajase-5938	237	26	dimensional	dimensional	ADJ
ajase-5938	237	27	with	with	ADP
ajase-5938	237	28	low	low	ADJ
ajase-5938	237	29	and	and	CCONJ
ajase-5938	237	30	high	high	ADJ
ajase-5938	237	31	correlation	correlation	NOUN
ajase-5938	237	32	levels	level	NOUN
ajase-5938	237	33	.	.	PUNCT
ajase-5938	238	1	in	in	ADP
ajase-5938	238	2	the	the	DET
ajase-5938	238	3	same	same	ADJ
ajase-5938	238	4	vein	vein	NOUN
ajase-5938	238	5	,	,	PUNCT
ajase-5938	238	6	figure	figure	VERB
ajase-5938	238	7	1	1	NUM
ajase-5938	238	8	presents	present	NOUN
ajase-5938	238	9	performance	performance	NOUN
ajase-5938	238	10	ranks	rank	NOUN
ajase-5938	238	11	of	of	ADP
ajase-5938	238	12	each	each	DET
ajase-5938	238	13	estimator	estimator	NOUN
ajase-5938	238	14	under	under	ADP
ajase-5938	238	15	varied	varied	ADJ
ajase-5938	238	16	levels	level	NOUN
ajase-5938	238	17	of	of	ADP
ajase-5938	238	18	high	high	ADJ
ajase-5938	238	19	dimensionality	dimensionality	NOUN
ajase-5938	238	20	and	and	CCONJ
ajase-5938	238	21	multicollinearity	multicollinearity	NOUN
ajase-5938	238	22	for	for	ADP
ajase-5938	238	23	sample	sample	NOUN
ajase-5938	238	24	size	size	NOUN
ajase-5938	238	25	30	30	NUM
ajase-5938	238	26	with	with	ADP
ajase-5938	238	27	10	10	NUM
ajase-5938	238	28	%	%	NOUN
ajase-5938	238	29	sparse	sparse	ADJ
ajase-5938	238	30	.	.	PUNCT
ajase-5938	239	1	the	the	DET
ajase-5938	239	2	figure	figure	NOUN
ajase-5938	239	3	similarly	similarly	ADV
ajase-5938	239	4	,	,	PUNCT
ajase-5938	239	5	ranks	rank	VERB
ajase-5938	239	6	lasso	lasso	NOUN
ajase-5938	239	7	estimator	estimator	NOUN
ajase-5938	239	8	best	well	ADV
ajase-5938	239	9	when	when	SCONJ
ajase-5938	239	10	p=50	p=50	PROPN
ajase-5938	239	11	&	&	CCONJ
ajase-5938	239	12	r=0.1	r=0.1	PROPN
ajase-5938	239	13	,	,	PUNCT
ajase-5938	239	14	p=50	p=50	PROPN
ajase-5938	239	15	&	&	CCONJ
ajase-5938	239	16	r=0.5	r=0.5	NOUN
ajase-5938	239	17	,	,	PUNCT
ajase-5938	239	18	and	and	CCONJ
ajase-5938	239	19	p=200	p=200	PROPN
ajase-5938	239	20	&	&	CCONJ
ajase-5938	239	21	r=0.5	r=0.5	NOUN
ajase-5938	239	22	while	while	SCONJ
ajase-5938	239	23	spcr	spcr	ADJ
ajase-5938	239	24	-	-	PUNCT
ajase-5938	239	25	lasso	lasso	NOUN
ajase-5938	239	26	returned	return	VERB
ajase-5938	239	27	best	good	ADJ
ajase-5938	239	28	rank	rank	NOUN
ajase-5938	239	29	estimator	estimator	NOUN
ajase-5938	239	30	when	when	SCONJ
ajase-5938	239	31	p=50	p=50	PROPN
ajase-5938	239	32	&	&	CCONJ
ajase-5938	239	33	r=0.9	r=0.9	PROPN
ajase-5938	239	34	,	,	PUNCT
ajase-5938	239	35	p=70	p=70	ADJ
ajase-5938	239	36	&	&	CCONJ
ajase-5938	239	37	r=0.1	r=0.1	NOUN
ajase-5938	239	38	,	,	PUNCT
ajase-5938	239	39	p=70	p=70	ADJ
ajase-5938	239	40	&	&	CCONJ
ajase-5938	239	41	r=0.1	r=0.1	NOUN
ajase-5938	239	42	,	,	PUNCT
ajase-5938	239	43	p=70	p=70	ADJ
ajase-5938	239	44	&	&	CCONJ
ajase-5938	239	45	r=0.5	r=0.5	NOUN
ajase-5938	239	46	,	,	PUNCT
ajase-5938	239	47	p=70	p=70	ADJ
ajase-5938	239	48	&	&	CCONJ
ajase-5938	239	49	r=0.9	r=0.9	PROPN
ajase-5938	239	50	,	,	PUNCT
ajase-5938	239	51	p=200	p=200	PROPN
ajase-5938	239	52	&	&	CCONJ
ajase-5938	239	53	r=0.1	r=0.1	NOUN
ajase-5938	239	54	,	,	PUNCT
ajase-5938	239	55	and	and	CCONJ
ajase-5938	239	56	p=200	p=200	PROPN
ajase-5938	239	57	&	&	CCONJ
ajase-5938	239	58	r=0.9	r=0.9	PROPN
ajase-5938	239	59	.	.	PUNCT
ajase-5938	240	1	figure	figure	VERB
ajase-5938	240	2	1	1	NUM
ajase-5938	240	3	:	:	PUNCT
ajase-5938	240	4	performance	performance	NOUN
ajase-5938	240	5	ranks	rank	NOUN
ajase-5938	240	6	of	of	ADP
ajase-5938	240	7	each	each	DET
ajase-5938	240	8	estimator	estimator	NOUN
ajase-5938	240	9	under	under	ADP
ajase-5938	240	10	varied	varied	ADJ
ajase-5938	240	11	levels	level	NOUN
ajase-5938	240	12	of	of	ADP
ajase-5938	240	13	high	high	ADJ
ajase-5938	240	14	dimensionality	dimensionality	NOUN
ajase-5938	240	15	and	and	CCONJ
ajase-5938	240	16	multicollinearity	multicollinearity	NOUN
ajase-5938	240	17	for	for	ADP
ajase-5938	240	18	sample	sample	NOUN
ajase-5938	240	19	size	size	NOUN
ajase-5938	240	20	30	30	NUM
ajase-5938	240	21	with	with	ADP
ajase-5938	240	22	10	10	NUM
ajase-5938	240	23	%	%	NOUN
ajase-5938	240	24	sparse	sparse	ADJ
ajase-5938	240	25	figure	figure	NOUN
ajase-5938	240	26	2	2	NUM
ajase-5938	240	27	:	:	PUNCT
ajase-5938	240	28	performance	performance	NOUN
ajase-5938	240	29	ranks	rank	NOUN
ajase-5938	240	30	of	of	ADP
ajase-5938	240	31	each	each	DET
ajase-5938	240	32	estimator	estimator	NOUN
ajase-5938	240	33	under	under	ADP
ajase-5938	240	34	varied	varied	ADJ
ajase-5938	240	35	levels	level	NOUN
ajase-5938	240	36	of	of	ADP
ajase-5938	240	37	high	high	ADJ
ajase-5938	240	38	dimensionality	dimensionality	NOUN
ajase-5938	240	39	and	and	CCONJ
ajase-5938	240	40	multicollinearity	multicollinearity	NOUN
ajase-5938	240	41	for	for	ADP
ajase-5938	240	42	sample	sample	NOUN
ajase-5938	240	43	size	size	NOUN
ajase-5938	240	44	30	30	NUM
ajase-5938	240	45	with	with	ADP
ajase-5938	240	46	30	30	NUM
ajase-5938	240	47	%	%	NOUN
ajase-5938	240	48	sparse	sparse	NOUN
ajase-5938	240	49	similarly	similarly	ADV
ajase-5938	240	50	,	,	PUNCT
ajase-5938	240	51	for	for	ADP
ajase-5938	240	52	sample	sample	NOUN
ajase-5938	240	53	size	size	NOUN
ajase-5938	240	54	30	30	NUM
ajase-5938	240	55	at	at	ADP
ajase-5938	240	56	30	30	NUM
ajase-5938	240	57	%	%	NOUN
ajase-5938	240	58	sparsity	sparsity	NOUN
ajase-5938	240	59	table	table	NOUN
ajase-5938	240	60	5	5	NUM
ajase-5938	240	61	reveals	reveal	VERB
ajase-5938	240	62	lowest	low	ADJ
ajase-5938	240	63	mses	ms	NOUN
ajase-5938	240	64	of	of	ADP
ajase-5938	240	65	0.0078	0.0078	NUM
ajase-5938	240	66	,	,	PUNCT
ajase-5938	240	67	0.7775	0.7775	NUM
ajase-5938	240	68	,	,	PUNCT
ajase-5938	240	69	0.00087	0.00087	NUM
ajase-5938	240	70	and	and	CCONJ
ajase-5938	240	71	0.00397	0.00397	NUM
ajase-5938	240	72	for	for	ADP
ajase-5938	240	73	lasso	lasso	NOUN
ajase-5938	240	74	estimator	estimator	NOUN
ajase-5938	240	75	when	when	SCONJ
ajase-5938	240	76	p=50	p=50	PROPN
ajase-5938	240	77	(	(	PUNCT
ajase-5938	240	78	i.e.	i.e.	X
ajase-5938	240	79	low	low	ADJ
ajase-5938	240	80	high	high	ADV
ajase-5938	240	81	-	-	PUNCT
ajase-5938	240	82	dimensional	dimensional	ADJ
ajase-5938	240	83	)	)	PUNCT
ajase-5938	240	84	at	at	ADP
ajase-5938	240	85	low	low	ADJ
ajase-5938	240	86	correlation	correlation	NOUN
ajase-5938	240	87	(	(	PUNCT
ajase-5938	240	88	r=0.1	r=0.1	NOUN
ajase-5938	240	89	)	)	PUNCT
ajase-5938	240	90	,	,	PUNCT
ajase-5938	240	91	moderate	moderate	ADJ
ajase-5938	240	92	correlation	correlation	NOUN
ajase-5938	240	93	(	(	PUNCT
ajase-5938	240	94	r=0.5	r=0.5	NOUN
ajase-5938	240	95	)	)	PUNCT
ajase-5938	240	96	and	and	CCONJ
ajase-5938	240	97	high	high	ADJ
ajase-5938	240	98	correlation	correlation	NOUN
ajase-5938	240	99	(	(	PUNCT
ajase-5938	240	100	r=0.9	r=0.9	NOUN
ajase-5938	240	101	)	)	PUNCT
ajase-5938	240	102	levels	level	NOUN
ajase-5938	240	103	respectively	respectively	ADV
ajase-5938	240	104	.	.	PUNCT
ajase-5938	241	1	while	while	SCONJ
ajase-5938	241	2	when	when	SCONJ
ajase-5938	241	3	p=200	p=200	PROPN
ajase-5938	241	4	at	at	ADP
ajase-5938	241	5	moderate	moderate	ADJ
ajase-5938	241	6	correlation	correlation	NOUN
ajase-5938	241	7	(	(	PUNCT
ajase-5938	241	8	r=0.5	r=0.5	NOUN
ajase-5938	241	9	)	)	PUNCT
ajase-5938	241	10	,	,	PUNCT
ajase-5938	241	11	the	the	DET
ajase-5938	241	12	table	table	NOUN
ajase-5938	241	13	returned	return	VERB
ajase-5938	241	14	elastic	elastic	ADJ
ajase-5938	241	15	net	net	NOUN
ajase-5938	241	16	(	(	PUNCT
ajase-5938	241	17	enet	enet	PROPN
ajase-5938	241	18	)	)	PUNCT
ajase-5938	241	19	estimator	estimator	NOUN
ajase-5938	241	20	with	with	ADP
ajase-5938	241	21	lowest	low	ADJ
ajase-5938	241	22	mse	mse	NOUN
ajase-5938	241	23	of	of	ADP
ajase-5938	241	24	0.00026	0.00026	NUM
ajase-5938	241	25	.	.	PUNCT
ajase-5938	242	1	the	the	DET
ajase-5938	242	2	table	table	NOUN
ajase-5938	242	3	also	also	ADV
ajase-5938	242	4	depicts	depict	VERB
ajase-5938	242	5	lowest	low	ADJ
ajase-5938	242	6	mses	ms	NOUN
ajase-5938	242	7	for	for	ADP
ajase-5938	242	8	the	the	DET
ajase-5938	242	9	novel	novel	ADJ
ajase-5938	242	10	spcrlasso	spcrlasso	NOUN
ajase-5938	242	11	estimator	estimator	NOUN
ajase-5938	242	12	when	when	SCONJ
ajase-5938	242	13	p=50	p=50	PROPN
ajase-5938	242	14	;	;	PUNCT
ajase-5938	242	15	r=0.9	r=0.9	NOUN
ajase-5938	242	16	(	(	PUNCT
ajase-5938	242	17	mse	mse	PROPN
ajase-5938	242	18	=	=	SYM
ajase-5938	242	19	0.3021	0.3021	NUM
ajase-5938	242	20	)	)	PUNCT
ajase-5938	242	21	i.e.	i.e.	X
ajase-5938	242	22	low	low	ADJ
ajase-5938	242	23	high	high	ADJ
ajase-5938	242	24	-	-	PUNCT
ajase-5938	242	25	dimension	dimension	NOUN
ajase-5938	242	26	with	with	ADP
ajase-5938	242	27	high	high	ADJ
ajase-5938	242	28	correlation	correlation	NOUN
ajase-5938	242	29	,	,	PUNCT
ajase-5938	242	30	p=70	p=70	ADP
ajase-5938	242	31	;	;	PUNCT
ajase-5938	242	32	r=0.1	r=0.1	NOUN
ajase-5938	242	33	(	(	PUNCT
ajase-5938	242	34	mse=0.0269),p=70;r=0.5	mse=0.0269),p=70;r=0.5	PROPN
ajase-5938	242	35	(	(	PUNCT
ajase-5938	242	36	mse=0.0173	mse=0.0173	PROPN
ajase-5938	242	37	)	)	PUNCT
ajase-5938	242	38	&	&	CCONJ
ajase-5938	242	39	p=70	p=70	PROPN
ajase-5938	242	40	;	;	PUNCT
ajase-5938	242	41	r=0.9	r=0.9	NOUN
ajase-5938	242	42	(	(	PUNCT
ajase-5938	242	43	mse=0.0511	mse=0.0511	PROPN
ajase-5938	242	44	)	)	PUNCT
ajase-5938	242	45	i.e.	i.e.	X
ajase-5938	242	46	moderate	moderate	ADJ
ajase-5938	242	47	high	high	ADV
ajase-5938	242	48	-	-	PUNCT
ajase-5938	242	49	dimensional	dimensional	ADJ
ajase-5938	242	50	with	with	ADP
ajase-5938	242	51	any	any	DET
ajase-5938	242	52	correlation	correlation	NOUN
ajase-5938	242	53	levels	level	NOUN
ajase-5938	242	54	,	,	PUNCT
ajase-5938	242	55	and	and	CCONJ
ajase-5938	242	56	p=200	p=200	PROPN
ajase-5938	242	57	;	;	PUNCT
ajase-5938	242	58	r=0.1	r=0.1	NOUN
ajase-5938	242	59	(	(	PUNCT
ajase-5938	242	60	mse=0.04379	mse=0.04379	PROPN
ajase-5938	242	61	)	)	PUNCT
ajase-5938	242	62	i.e.	i.e.	X
ajase-5938	242	63	high	high	ADV
ajase-5938	242	64	-	-	PUNCT
ajase-5938	242	65	dimensional	dimensional	ADJ
ajase-5938	242	66	with	with	ADP
ajase-5938	242	67	low	low	ADJ
ajase-5938	242	68	correlation	correlation	NOUN
ajase-5938	242	69	level	level	NOUN
ajase-5938	242	70	.	.	PUNCT
ajase-5938	243	1	in	in	ADP
ajase-5938	243	2	the	the	DET
ajase-5938	243	3	same	same	ADJ
ajase-5938	243	4	vein	vein	NOUN
ajase-5938	243	5	,	,	PUNCT
ajase-5938	243	6	figure	figure	VERB
ajase-5938	243	7	2	2	NUM
ajase-5938	243	8	presents	present	NOUN
ajase-5938	243	9	performance	performance	NOUN
ajase-5938	243	10	ranks	rank	NOUN
ajase-5938	243	11	of	of	ADP
ajase-5938	243	12	each	each	DET
ajase-5938	243	13	estimator	estimator	NOUN
ajase-5938	243	14	under	under	ADP
ajase-5938	243	15	varied	varied	ADJ
ajase-5938	243	16	levels	level	NOUN
ajase-5938	243	17	of	of	ADP
ajase-5938	243	18	high	high	ADJ
ajase-5938	243	19	dimensionality	dimensionality	NOUN
ajase-5938	243	20	and	and	CCONJ
ajase-5938	243	21	multicollinearity	multicollinearity	NOUN
ajase-5938	243	22	for	for	ADP
ajase-5938	243	23	sample	sample	NOUN
ajase-5938	243	24	size	size	NOUN
ajase-5938	243	25	30	30	NUM
ajase-5938	243	26	with	with	ADP
ajase-5938	243	27	30	30	NUM
ajase-5938	243	28	%	%	NOUN
ajase-5938	243	29	sparse	sparse	NOUN
ajase-5938	243	30	.	.	PUNCT
ajase-5938	244	1	the	the	DET
ajase-5938	244	2	figure	figure	NOUN
ajase-5938	244	3	similarly	similarly	ADV
ajase-5938	244	4	,	,	PUNCT
ajase-5938	244	5	ranks	rank	VERB
ajase-5938	244	6	lasso	lasso	NOUN
ajase-5938	244	7	estimator	estimator	NOUN
ajase-5938	244	8	best	well	ADV
ajase-5938	244	9	when	when	SCONJ
ajase-5938	244	10	p=50	p=50	PROPN
ajase-5938	244	11	&	&	CCONJ
ajase-5938	244	12	r=0.1	r=0.1	PROPN
ajase-5938	244	13	,	,	PUNCT
ajase-5938	244	14	p=50	p=50	PROPN
ajase-5938	244	15	&	&	CCONJ
ajase-5938	244	16	r=0.5	r=0.5	NOUN
ajase-5938	244	17	,	,	PUNCT
ajase-5938	244	18	and	and	CCONJ
ajase-5938	244	19	p=200	p=200	PROPN
ajase-5938	244	20	&	&	CCONJ
ajase-5938	244	21	r=0.9	r=0.9	NOUN
ajase-5938	244	22	.	.	PUNCT
ajase-5938	245	1	it	it	PRON
ajase-5938	245	2	also	also	ADV
ajase-5938	245	3	ranks	rank	VERB
ajase-5938	245	4	elastic	elastic	ADJ
ajase-5938	245	5	net	net	ADJ
ajase-5938	245	6	estimator	estimator	NOUN
ajase-5938	245	7	best	good	ADJ
ajase-5938	245	8	when	when	SCONJ
ajase-5938	245	9	p=200	p=200	PROPN
ajase-5938	245	10	&	&	CCONJ
ajase-5938	245	11	r=0.5	r=0.5	NOUN
ajase-5938	245	12	while	while	SCONJ
ajase-5938	245	13	spcr	spcr	ADJ
ajase-5938	245	14	-	-	PUNCT
ajase-5938	245	15	lasso	lasso	NOUN
ajase-5938	245	16	returned	return	VERB
ajase-5938	245	17	best	good	ADJ
ajase-5938	245	18	rank	rank	NOUN
ajase-5938	245	19	estimator	estimator	NOUN
ajase-5938	245	20	when	when	SCONJ
ajase-5938	245	21	p=50	p=50	PROPN
ajase-5938	245	22	&	&	CCONJ
ajase-5938	245	23	r=0.9	r=0.9	PROPN
ajase-5938	245	24	,	,	PUNCT
ajase-5938	245	25	p=70	p=70	ADJ
ajase-5938	245	26	&	&	CCONJ
ajase-5938	245	27	r=0.1	r=0.1	NOUN
ajase-5938	245	28	,	,	PUNCT
ajase-5938	245	29	p=70	p=70	ADJ
ajase-5938	245	30	&	&	CCONJ
ajase-5938	245	31	r=0.1	r=0.1	NOUN
ajase-5938	245	32	,	,	PUNCT
ajase-5938	245	33	p=70	p=70	ADJ
ajase-5938	245	34	&	&	CCONJ
ajase-5938	245	35	r=0.5	r=0.5	NOUN
ajase-5938	245	36	,	,	PUNCT
ajase-5938	245	37	p=70	p=70	ADJ
ajase-5938	245	38	&	&	CCONJ
ajase-5938	245	39	r=0.9	r=0.9	PROPN
ajase-5938	245	40	,	,	PUNCT
ajase-5938	245	41	and	and	CCONJ
ajase-5938	245	42	p=200	p=200	PROPN
ajase-5938	245	43	&	&	CCONJ
ajase-5938	245	44	r=0.1	r=0.1	NOUN
ajase-5938	245	45	.	.	PUNCT
ajase-5938	246	1	pa	pa	PROPN
ajase-5938	246	2	ge	ge	PROPN
ajase-5938	246	3	13	13	NUM
ajase-5938	246	4	5	5	NUM
ajase-5938	246	5	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5938	246	6	am	be	AUX
ajase-5938	246	7	.	.	PUNCT
ajase-5938	247	1	j.	j.	PROPN
ajase-5938	247	2	appl	appl	PROPN
ajase-5938	247	3	.	.	PROPN
ajase-5938	248	1	stat	stat	PROPN
ajase-5938	248	2	.	.	PUNCT
ajase-5938	249	1	econ	econ	PROPN
ajase-5938	249	2	.	.	PUNCT
ajase-5938	250	1	4(1	4(1	X
ajase-5938	250	2	)	)	PUNCT
ajase-5938	251	1	127	127	NUM
ajase-5938	251	2	-	-	SYM
ajase-5938	251	3	140	140	NUM
ajase-5938	251	4	,	,	PUNCT
ajase-5938	251	5	2025	2025	NUM
ajase-5938	251	6	figure	figure	NOUN
ajase-5938	251	7	4	4	NUM
ajase-5938	251	8	:	:	PUNCT
ajase-5938	251	9	performance	performance	NOUN
ajase-5938	251	10	ranks	rank	NOUN
ajase-5938	251	11	of	of	ADP
ajase-5938	251	12	each	each	DET
ajase-5938	251	13	estimator	estimator	NOUN
ajase-5938	251	14	under	under	ADP
ajase-5938	251	15	varied	varied	ADJ
ajase-5938	251	16	levels	level	NOUN
ajase-5938	251	17	of	of	ADP
ajase-5938	251	18	high	high	ADJ
ajase-5938	251	19	dimensionality	dimensionality	NOUN
ajase-5938	251	20	and	and	CCONJ
ajase-5938	251	21	multicollinearity	multicollinearity	NOUN
ajase-5938	251	22	for	for	ADP
ajase-5938	251	23	sample	sample	NOUN
ajase-5938	251	24	size	size	NOUN
ajase-5938	251	25	50	50	NUM
ajase-5938	251	26	with	with	ADP
ajase-5938	251	27	30	30	NUM
ajase-5938	251	28	%	%	NOUN
ajase-5938	251	29	sparse	sparse	ADJ
ajase-5938	251	30	figure	figure	NOUN
ajase-5938	251	31	3	3	NUM
ajase-5938	251	32	:	:	PUNCT
ajase-5938	251	33	performance	performance	NOUN
ajase-5938	251	34	ranks	rank	NOUN
ajase-5938	251	35	of	of	ADP
ajase-5938	251	36	each	each	DET
ajase-5938	251	37	estimator	estimator	NOUN
ajase-5938	251	38	under	under	ADP
ajase-5938	251	39	varied	varied	ADJ
ajase-5938	251	40	levels	level	NOUN
ajase-5938	251	41	of	of	ADP
ajase-5938	251	42	high	high	ADJ
ajase-5938	251	43	dimensionality	dimensionality	NOUN
ajase-5938	251	44	and	and	CCONJ
ajase-5938	251	45	multicollinearity	multicollinearity	NOUN
ajase-5938	251	46	for	for	ADP
ajase-5938	251	47	sample	sample	NOUN
ajase-5938	251	48	size	size	NOUN
ajase-5938	251	49	50	50	NUM
ajase-5938	251	50	with	with	ADP
ajase-5938	251	51	10	10	NUM
ajase-5938	251	52	%	%	NOUN
ajase-5938	251	53	sparse	sparse	ADJ
ajase-5938	251	54	furthermore	furthermore	ADV
ajase-5938	251	55	,	,	PUNCT
ajase-5938	251	56	considering	consider	VERB
ajase-5938	251	57	small	small	ADJ
ajase-5938	251	58	sample	sample	NOUN
ajase-5938	251	59	size	size	NOUN
ajase-5938	251	60	of	of	ADP
ajase-5938	251	61	50	50	NUM
ajase-5938	251	62	at	at	ADP
ajase-5938	251	63	10	10	NUM
ajase-5938	251	64	%	%	NOUN
ajase-5938	251	65	sparsity	sparsity	NOUN
ajase-5938	251	66	table	table	NOUN
ajase-5938	251	67	5	5	NUM
ajase-5938	251	68	reveals	reveal	VERB
ajase-5938	251	69	the	the	DET
ajase-5938	251	70	lasso	lasso	NOUN
ajase-5938	251	71	estimator	estimator	NOUN
ajase-5938	251	72	with	with	ADP
ajase-5938	251	73	least	least	ADJ
ajase-5938	251	74	mses	ms	NOUN
ajase-5938	251	75	of	of	ADP
ajase-5938	251	76	0.0111	0.0111	NUM
ajase-5938	251	77	,	,	PUNCT
ajase-5938	251	78	0.0016	0.0016	NUM
ajase-5938	251	79	,	,	PUNCT
ajase-5938	251	80	0.0005	0.0005	NUM
ajase-5938	251	81	and	and	CCONJ
ajase-5938	251	82	0.00016	0.00016	NUM
ajase-5938	251	83	when	when	SCONJ
ajase-5938	251	84	p=70	p=70	ADP
ajase-5938	251	85	&	&	CCONJ
ajase-5938	251	86	r=0.5	r=0.5	NOUN
ajase-5938	251	87	,	,	PUNCT
ajase-5938	251	88	p=100	p=100	PROPN
ajase-5938	251	89	&	&	CCONJ
ajase-5938	251	90	r=0.1	r=0.1	NOUN
ajase-5938	251	91	,	,	PUNCT
ajase-5938	251	92	p=70	p=70	ADJ
ajase-5938	251	93	&	&	CCONJ
ajase-5938	251	94	r=0.5	r=0.5	NOUN
ajase-5938	251	95	,	,	PUNCT
ajase-5938	251	96	and	and	CCONJ
ajase-5938	251	97	p=200	p=200	PROPN
ajase-5938	251	98	&	&	CCONJ
ajase-5938	251	99	r=0.5	r=0.5	NOUN
ajase-5938	251	100	respectively	respectively	ADV
ajase-5938	251	101	.	.	PUNCT
ajase-5938	252	1	meanwhile	meanwhile	ADV
ajase-5938	252	2	the	the	DET
ajase-5938	252	3	table	table	NOUN
ajase-5938	252	4	depicts	depict	VERB
ajase-5938	252	5	the	the	DET
ajase-5938	252	6	novel	novel	NOUN
ajase-5938	252	7	;	;	PUNCT
ajase-5938	252	8	spcr	spcr	ADJ
ajase-5938	252	9	-	-	PUNCT
ajase-5938	252	10	lasso	lasso	NOUN
ajase-5938	252	11	estimator	estimator	NOUN
ajase-5938	252	12	with	with	ADP
ajase-5938	252	13	least	least	ADJ
ajase-5938	252	14	mses	ms	NOUN
ajase-5938	252	15	when	when	SCONJ
ajase-5938	252	16	p=70	p=70	ADP
ajase-5938	252	17	&	&	CCONJ
ajase-5938	252	18	r=0.9	r=0.9	PROPN
ajase-5938	252	19	(	(	PUNCT
ajase-5938	252	20	mse=0.07296	mse=0.07296	NOUN
ajase-5938	252	21	)	)	PUNCT
ajase-5938	252	22	and	and	CCONJ
ajase-5938	252	23	p=200	p=200	PROPN
ajase-5938	252	24	&	&	CCONJ
ajase-5938	252	25	r=0.1	r=0.1	NOUN
ajase-5938	252	26	(	(	PUNCT
ajase-5938	252	27	mse=0.0000032	mse=0.0000032	NOUN
ajase-5938	252	28	)	)	PUNCT
ajase-5938	252	29	,	,	PUNCT
ajase-5938	252	30	spcr	spcr	ADJ
ajase-5938	252	31	-	-	PUNCT
ajase-5938	252	32	scad	scad	NOUN
ajase-5938	252	33	estimator	estimator	NOUN
ajase-5938	252	34	with	with	ADP
ajase-5938	252	35	least	least	ADJ
ajase-5938	252	36	mses	ms	NOUN
ajase-5938	252	37	when	when	SCONJ
ajase-5938	252	38	p=70	p=70	ADP
ajase-5938	252	39	&	&	CCONJ
ajase-5938	252	40	r=0.1	r=0.1	PROPN
ajase-5938	252	41	(	(	PUNCT
ajase-5938	252	42	mse=0.002342	mse=0.002342	PROPN
ajase-5938	252	43	)	)	PUNCT
ajase-5938	252	44	and	and	CCONJ
ajase-5938	252	45	p=100	p=100	PROPN
ajase-5938	252	46	&	&	CCONJ
ajase-5938	252	47	r=0.9	r=0.9	PROPN
ajase-5938	252	48	(	(	PUNCT
ajase-5938	252	49	mse=0.05008	mse=0.05008	NOUN
ajase-5938	252	50	)	)	PUNCT
ajase-5938	252	51	,	,	PUNCT
ajase-5938	252	52	and	and	CCONJ
ajase-5938	252	53	spcr	spcr	ADJ
ajase-5938	252	54	-	-	PUNCT
ajase-5938	252	55	enet	enet	NOUN
ajase-5938	252	56	estimator	estimator	NOUN
ajase-5938	252	57	with	with	ADP
ajase-5938	252	58	lowest	low	ADJ
ajase-5938	252	59	mse	mse	NOUN
ajase-5938	253	1	when	when	SCONJ
ajase-5938	253	2	p=200	p=200	PROPN
ajase-5938	253	3	&	&	CCONJ
ajase-5938	253	4	r=0.9	r=0.9	PROPN
ajase-5938	253	5	(	(	PUNCT
ajase-5938	253	6	mse=0.00076	mse=0.00076	NOUN
ajase-5938	253	7	)	)	PUNCT
ajase-5938	253	8	.	.	PUNCT
ajase-5938	254	1	similarly	similarly	ADV
ajase-5938	254	2	,	,	PUNCT
ajase-5938	254	3	figure	figure	VERB
ajase-5938	254	4	3	3	NUM
ajase-5938	254	5	presents	present	VERB
ajase-5938	254	6	the	the	DET
ajase-5938	254	7	performance	performance	NOUN
ajase-5938	254	8	ranks	rank	NOUN
ajase-5938	254	9	of	of	ADP
ajase-5938	254	10	each	each	DET
ajase-5938	254	11	estimator	estimator	NOUN
ajase-5938	254	12	under	under	ADP
ajase-5938	254	13	varied	varied	ADJ
ajase-5938	254	14	levels	level	NOUN
ajase-5938	254	15	of	of	ADP
ajase-5938	254	16	high	high	ADJ
ajase-5938	254	17	dimensionality	dimensionality	NOUN
ajase-5938	254	18	and	and	CCONJ
ajase-5938	254	19	multicollinearity	multicollinearity	NOUN
ajase-5938	254	20	for	for	ADP
ajase-5938	254	21	sample	sample	NOUN
ajase-5938	254	22	size	size	NOUN
ajase-5938	254	23	50	50	NUM
ajase-5938	254	24	with	with	ADP
ajase-5938	254	25	10	10	NUM
ajase-5938	254	26	%	%	NOUN
ajase-5938	254	27	sparse	sparse	ADJ
ajase-5938	254	28	.	.	PUNCT
ajase-5938	255	1	according	accord	VERB
ajase-5938	255	2	to	to	ADP
ajase-5938	255	3	the	the	DET
ajase-5938	255	4	figure	figure	NOUN
ajase-5938	255	5	,	,	PUNCT
ajase-5938	255	6	the	the	DET
ajase-5938	255	7	lasso	lasso	NOUN
ajase-5938	255	8	estimator	estimator	NOUN
ajase-5938	255	9	was	be	AUX
ajase-5938	255	10	ranked	rank	VERB
ajase-5938	255	11	best	well	ADV
ajase-5938	255	12	(	(	PUNCT
ajase-5938	255	13	i.e.	i.e.	X
ajase-5938	255	14	1st	1st	NOUN
ajase-5938	255	15	)	)	PUNCT
ajase-5938	255	16	on	on	ADP
ajase-5938	255	17	four	four	NUM
ajase-5938	255	18	occasions	occasion	NOUN
ajase-5938	255	19	namely	namely	ADV
ajase-5938	255	20	,	,	PUNCT
ajase-5938	255	21	p=70	p=70	ADJ
ajase-5938	255	22	&	&	CCONJ
ajase-5938	255	23	r=0.5	r=0.5	NOUN
ajase-5938	255	24	,	,	PUNCT
ajase-5938	255	25	p=100	p=100	PROPN
ajase-5938	255	26	&	&	CCONJ
ajase-5938	255	27	r=0.1	r=0.1	NOUN
ajase-5938	255	28	,	,	PUNCT
ajase-5938	255	29	p=70	p=70	ADJ
ajase-5938	255	30	&	&	CCONJ
ajase-5938	255	31	r=0.5	r=0.5	NOUN
ajase-5938	255	32	,	,	PUNCT
ajase-5938	255	33	and	and	CCONJ
ajase-5938	255	34	p=200	p=200	PROPN
ajase-5938	255	35	&	&	CCONJ
ajase-5938	255	36	r=0.5	r=0.5	NOUN
ajase-5938	255	37	.	.	PUNCT
ajase-5938	256	1	the	the	DET
ajase-5938	256	2	novel	novel	ADJ
ajase-5938	256	3	spcr	spcr	ADJ
ajase-5938	256	4	-	-	PUNCT
ajase-5938	256	5	lasso	lasso	NOUN
ajase-5938	256	6	estimator	estimator	NOUN
ajase-5938	256	7	was	be	AUX
ajase-5938	256	8	ranked	rank	VERB
ajase-5938	256	9	best	well	ADV
ajase-5938	256	10	on	on	ADP
ajase-5938	256	11	two	two	NUM
ajase-5938	256	12	occasions	occasion	NOUN
ajase-5938	256	13	namely	namely	ADV
ajase-5938	256	14	,	,	PUNCT
ajase-5938	256	15	p=70	p=70	ADJ
ajase-5938	256	16	&	&	CCONJ
ajase-5938	256	17	r=0.9	r=0.9	PROPN
ajase-5938	256	18	and	and	CCONJ
ajase-5938	256	19	p=200	p=200	PROPN
ajase-5938	256	20	&	&	CCONJ
ajase-5938	256	21	r=0.1	r=0.1	NOUN
ajase-5938	256	22	.	.	PUNCT
ajase-5938	257	1	also	also	ADV
ajase-5938	257	2	,	,	PUNCT
ajase-5938	257	3	the	the	DET
ajase-5938	257	4	novel	novel	ADJ
ajase-5938	257	5	spcr	spcr	ADJ
ajase-5938	257	6	-	-	PUNCT
ajase-5938	257	7	scad	scad	NOUN
ajase-5938	257	8	was	be	AUX
ajase-5938	257	9	ranked	rank	VERB
ajase-5938	257	10	best	well	ADV
ajase-5938	257	11	on	on	ADP
ajase-5938	257	12	two	two	NUM
ajase-5938	257	13	occasions	occasion	NOUN
ajase-5938	257	14	namely	namely	ADV
ajase-5938	257	15	p=70	p=70	ADJ
ajase-5938	257	16	&	&	CCONJ
ajase-5938	257	17	r=0.1	r=0.1	NOUN
ajase-5938	257	18	and	and	CCONJ
ajase-5938	257	19	p=100	p=100	PROPN
ajase-5938	257	20	&	&	CCONJ
ajase-5938	257	21	r=0.9	r=0.9	PROPN
ajase-5938	257	22	.	.	PUNCT
ajase-5938	258	1	as	as	ADV
ajase-5938	258	2	well	well	ADV
ajase-5938	258	3	as	as	ADP
ajase-5938	258	4	our	our	PRON
ajase-5938	258	5	novel	novel	ADJ
ajase-5938	258	6	spcr	spcr	ADJ
ajase-5938	258	7	-	-	PUNCT
ajase-5938	258	8	enet	enet	NOUN
ajase-5938	258	9	was	be	AUX
ajase-5938	258	10	ranked	rank	VERB
ajase-5938	258	11	best	well	ADV
ajase-5938	258	12	when	when	SCONJ
ajase-5938	258	13	p=200	p=200	PROPN
ajase-5938	258	14	&	&	CCONJ
ajase-5938	258	15	r=0.9	r=0.9	PROPN
ajase-5938	258	16	.	.	PUNCT
ajase-5938	259	1	considering	consider	VERB
ajase-5938	259	2	small	small	ADJ
ajase-5938	259	3	sample	sample	NOUN
ajase-5938	259	4	size	size	NOUN
ajase-5938	259	5	of	of	ADP
ajase-5938	259	6	50	50	NUM
ajase-5938	259	7	at	at	ADP
ajase-5938	259	8	30	30	NUM
ajase-5938	259	9	%	%	NOUN
ajase-5938	259	10	sparsity	sparsity	NOUN
ajase-5938	259	11	table	table	NOUN
ajase-5938	259	12	5	5	NUM
ajase-5938	259	13	and	and	CCONJ
ajase-5938	259	14	figure	figure	VERB
ajase-5938	259	15	4	4	NUM
ajase-5938	259	16	reveal	reveal	VERB
ajase-5938	259	17	lasso	lasso	NOUN
ajase-5938	259	18	estimator	estimator	NOUN
ajase-5938	259	19	returned	return	VERB
ajase-5938	259	20	with	with	ADP
ajase-5938	259	21	least	least	ADJ
ajase-5938	259	22	mse	mse	ADJ
ajase-5938	259	23	and	and	CCONJ
ajase-5938	259	24	1st	1st	NOUN
ajase-5938	259	25	ranking	ranking	NOUN
ajase-5938	259	26	on	on	ADP
ajase-5938	259	27	six	six	NUM
ajase-5938	259	28	occasions	occasion	NOUN
ajase-5938	259	29	namely	namely	ADV
ajase-5938	259	30	p=70	p=70	ADJ
ajase-5938	259	31	&	&	CCONJ
ajase-5938	259	32	r=0.1	r=0.1	PROPN
ajase-5938	259	33	(	(	PUNCT
ajase-5938	259	34	mse=0.001752	mse=0.001752	NOUN
ajase-5938	259	35	)	)	PUNCT
ajase-5938	259	36	,	,	PUNCT
ajase-5938	259	37	p=70	p=70	ADJ
ajase-5938	259	38	&	&	CCONJ
ajase-5938	259	39	r=0.5	r=0.5	NOUN
ajase-5938	259	40	(	(	PUNCT
ajase-5938	259	41	mse=0.04827	mse=0.04827	PROPN
ajase-5938	259	42	)	)	PUNCT
ajase-5938	259	43	,	,	PUNCT
ajase-5938	259	44	p=100	p=100	PROPN
ajase-5938	259	45	&	&	CCONJ
ajase-5938	259	46	r=0.1	r=0.1	NOUN
ajase-5938	259	47	(	(	PUNCT
ajase-5938	259	48	mse=0.00135	mse=0.00135	NOUN
ajase-5938	259	49	)	)	PUNCT
ajase-5938	259	50	,	,	PUNCT
ajase-5938	259	51	p=100	p=100	PROPN
ajase-5938	259	52	&	&	CCONJ
ajase-5938	259	53	r=0.5	r=0.5	NOUN
ajase-5938	259	54	(	(	PUNCT
ajase-5938	259	55	mse=0.00376	mse=0.00376	PROPN
ajase-5938	259	56	)	)	PUNCT
ajase-5938	259	57	,	,	PUNCT
ajase-5938	259	58	p=200	p=200	PROPN
ajase-5938	259	59	&	&	CCONJ
ajase-5938	259	60	r=0.1	r=0.1	PROPN
ajase-5938	259	61	(	(	PUNCT
ajase-5938	259	62	mse=0.03429	mse=0.03429	NUM
ajase-5938	259	63	)	)	PUNCT
ajase-5938	259	64	and	and	CCONJ
ajase-5938	259	65	p=200	p=200	PROPN
ajase-5938	259	66	&	&	CCONJ
ajase-5938	259	67	r=0.5	r=0.5	NOUN
ajase-5938	259	68	(	(	PUNCT
ajase-5938	259	69	mse=0.00376	mse=0.00376	PROPN
ajase-5938	259	70	)	)	PUNCT
ajase-5938	259	71	.	.	PUNCT
ajase-5938	260	1	additionally	additionally	ADV
ajase-5938	260	2	,	,	PUNCT
ajase-5938	260	3	table	table	NOUN
ajase-5938	260	4	5	5	NUM
ajase-5938	260	5	and	and	CCONJ
ajase-5938	260	6	figure	figure	VERB
ajase-5938	260	7	4	4	NUM
ajase-5938	260	8	depict	depict	VERB
ajase-5938	260	9	our	our	PRON
ajase-5938	260	10	novel	novel	ADJ
ajase-5938	260	11	spcr	spcr	ADJ
ajase-5938	260	12	-	-	PUNCT
ajase-5938	260	13	scad	scad	NOUN
ajase-5938	260	14	estimator	estimator	NOUN
ajase-5938	260	15	returned	return	VERB
ajase-5938	260	16	with	with	ADP
ajase-5938	260	17	least	least	ADJ
ajase-5938	260	18	mse	mse	ADJ
ajase-5938	260	19	and	and	CCONJ
ajase-5938	260	20	1st	1st	NOUN
ajase-5938	260	21	ranking	ranking	NOUN
ajase-5938	260	22	on	on	ADP
ajase-5938	260	23	two	two	NUM
ajase-5938	260	24	occasions	occasion	NOUN
ajase-5938	260	25	namely	namely	ADV
ajase-5938	260	26	p=70	p=70	ADJ
ajase-5938	260	27	&	&	CCONJ
ajase-5938	260	28	r=0.9	r=0.9	PROPN
ajase-5938	260	29	(	(	PUNCT
ajase-5938	260	30	mse=0.23878	mse=0.23878	ADJ
ajase-5938	260	31	)	)	PUNCT
ajase-5938	260	32	and	and	CCONJ
ajase-5938	260	33	p=100	p=100	PROPN
ajase-5938	260	34	&	&	CCONJ
ajase-5938	260	35	r=0.9	r=0.9	PROPN
ajase-5938	260	36	(	(	PUNCT
ajase-5938	260	37	mse=0.01216	mse=0.01216	ADJ
ajase-5938	260	38	)	)	PUNCT
ajase-5938	260	39	.	.	PUNCT
ajase-5938	261	1	also	also	ADV
ajase-5938	261	2	,	,	PUNCT
ajase-5938	261	3	according	accord	VERB
ajase-5938	261	4	to	to	ADP
ajase-5938	261	5	table	table	NOUN
ajase-5938	261	6	5	5	NUM
ajase-5938	261	7	and	and	CCONJ
ajase-5938	261	8	figure	figure	VERB
ajase-5938	261	9	4	4	NUM
ajase-5938	261	10	our	our	PRON
ajase-5938	261	11	novel	novel	ADJ
ajase-5938	261	12	spcr	spcr	ADJ
ajase-5938	261	13	-	-	PUNCT
ajase-5938	261	14	enet	enet	NOUN
ajase-5938	261	15	returned	return	VERB
ajase-5938	261	16	with	with	ADP
ajase-5938	261	17	least	least	ADJ
ajase-5938	261	18	mse	mse	NOUN
ajase-5938	261	19	and	and	CCONJ
ajase-5938	261	20	ranked	rank	VERB
ajase-5938	261	21	1st	1st	NOUN
ajase-5938	261	22	when	when	SCONJ
ajase-5938	261	23	=	=	X
ajase-5938	261	24	200	200	NUM
ajase-5938	261	25	&	&	CCONJ
ajase-5938	261	26	r=0.9	r=0.9	PROPN
ajase-5938	261	27	(	(	PUNCT
ajase-5938	261	28	mse=0.00523	mse=0.00523	NOUN
ajase-5938	261	29	)	)	PUNCT
ajase-5938	261	30	.	.	PUNCT
ajase-5938	262	1	moreover	moreover	ADV
ajase-5938	262	2	,	,	PUNCT
ajase-5938	262	3	table	table	NOUN
ajase-5938	262	4	6	6	NUM
ajase-5938	262	5	presents	present	VERB
ajase-5938	262	6	the	the	DET
ajase-5938	262	7	assessment	assessment	NOUN
ajase-5938	262	8	results	result	NOUN
ajase-5938	262	9	(	(	PUNCT
ajase-5938	262	10	i.e.	i.e.	X
ajase-5938	262	11	mses	ms	NOUN
ajase-5938	262	12	)	)	PUNCT
ajase-5938	262	13	of	of	ADP
ajase-5938	262	14	each	each	DET
ajase-5938	262	15	ridge	ridge	NOUN
ajase-5938	262	16	,	,	PUNCT
ajase-5938	262	17	lasso	lasso	NOUN
ajase-5938	262	18	,	,	PUNCT
ajase-5938	262	19	elastic	elastic	ADJ
ajase-5938	262	20	-	-	PUNCT
ajase-5938	262	21	net	net	NOUN
ajase-5938	262	22	,	,	PUNCT
ajase-5938	262	23	scad	scad	NOUN
ajase-5938	262	24	and	and	CCONJ
ajase-5938	262	25	the	the	DET
ajase-5938	262	26	novel	novel	ADJ
ajase-5938	262	27	two	two	NUM
ajase-5938	262	28	-	-	PUNCT
ajase-5938	262	29	step	step	NOUN
ajase-5938	262	30	sparse	sparse	ADJ
ajase-5938	262	31	learning	learn	VERB
ajase-5938	262	32	regression	regression	NOUN
ajase-5938	262	33	models	model	NOUN
ajase-5938	262	34	under	under	ADP
ajase-5938	262	35	problem	problem	NOUN
ajase-5938	262	36	of	of	ADP
ajase-5938	262	37	high	high	ADJ
ajase-5938	262	38	dimensionality	dimensionality	NOUN
ajase-5938	262	39	and	and	CCONJ
ajase-5938	262	40	multicollinearity	multicollinearity	NOUN
ajase-5938	262	41	at	at	ADP
ajase-5938	262	42	pa	pa	PROPN
ajase-5938	262	43	ge	ge	PROPN
ajase-5938	263	1	13	13	NUM
ajase-5938	263	2	6	6	NUM
ajase-5938	263	3	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5938	263	4	am	am	NOUN
ajase-5938	263	5	.	.	PUNCT
ajase-5938	264	1	j.	j.	PROPN
ajase-5938	264	2	appl	appl	PROPN
ajase-5938	264	3	.	.	PROPN
ajase-5938	265	1	stat	stat	PROPN
ajase-5938	265	2	.	.	PUNCT
ajase-5938	266	1	econ	econ	PROPN
ajase-5938	266	2	.	.	PUNCT
ajase-5938	267	1	4(1	4(1	X
ajase-5938	267	2	)	)	PUNCT
ajase-5938	268	1	127	127	NUM
ajase-5938	268	2	-	-	SYM
ajase-5938	268	3	140	140	NUM
ajase-5938	268	4	,	,	PUNCT
ajase-5938	268	5	2025	2025	NUM
ajase-5938	268	6	higher	high	ADJ
ajase-5938	268	7	small	small	ADJ
ajase-5938	268	8	sample	sample	NOUN
ajase-5938	268	9	sizes	size	NOUN
ajase-5938	268	10	(	(	PUNCT
ajase-5938	268	11	i.e.	i.e.	X
ajase-5938	268	12	70	70	NUM
ajase-5938	268	13	and	and	CCONJ
ajase-5938	268	14	100	100	NUM
ajase-5938	268	15	)	)	PUNCT
ajase-5938	268	16	.	.	PUNCT
ajase-5938	269	1	according	accord	VERB
ajase-5938	269	2	to	to	ADP
ajase-5938	269	3	table	table	NOUN
ajase-5938	269	4	6	6	NUM
ajase-5938	269	5	and	and	CCONJ
ajase-5938	269	6	figure	figure	VERB
ajase-5938	269	7	5	5	NUM
ajase-5938	269	8	when	when	SCONJ
ajase-5938	269	9	considering	consider	VERB
ajase-5938	269	10	sample	sample	NOUN
ajase-5938	269	11	size	size	NOUN
ajase-5938	269	12	70	70	NUM
ajase-5938	269	13	with	with	ADP
ajase-5938	269	14	10	10	NUM
ajase-5938	269	15	%	%	NOUN
ajase-5938	269	16	sparsity	sparsity	NOUN
ajase-5938	269	17	,	,	PUNCT
ajase-5938	269	18	lasso	lasso	NOUN
ajase-5938	269	19	estimator	estimator	NOUN
ajase-5938	269	20	returned	return	VERB
ajase-5938	269	21	with	with	ADP
ajase-5938	269	22	least	least	ADJ
ajase-5938	269	23	mse	mse	NOUN
ajase-5938	269	24	and	and	CCONJ
ajase-5938	269	25	ranked	rank	VERB
ajase-5938	269	26	1st	1st	NOUN
ajase-5938	269	27	on	on	ADP
ajase-5938	269	28	three	three	NUM
ajase-5938	269	29	occasions	occasion	NOUN
ajase-5938	269	30	namely	namely	ADV
ajase-5938	269	31	p=100	p=100	PROPN
ajase-5938	269	32	&	&	CCONJ
ajase-5938	269	33	r=0.1	r=0.1	NOUN
ajase-5938	269	34	(	(	PUNCT
ajase-5938	269	35	mse=0.01239	mse=0.01239	NOUN
ajase-5938	269	36	)	)	PUNCT
ajase-5938	269	37	,	,	PUNCT
ajase-5938	269	38	p=150	p=150	PROPN
ajase-5938	269	39	&	&	CCONJ
ajase-5938	269	40	r=0.1	r=0.1	PROPN
ajase-5938	269	41	(	(	PUNCT
ajase-5938	269	42	mse=0.000253	mse=0.000253	X
ajase-5938	269	43	)	)	PUNCT
ajase-5938	269	44	and	and	CCONJ
ajase-5938	269	45	p=150	p=150	PROPN
ajase-5938	269	46	&	&	CCONJ
ajase-5938	269	47	r=0.5	r=0.5	NOUN
ajase-5938	269	48	(	(	PUNCT
ajase-5938	269	49	mse=0.00860	mse=0.00860	NOUN
ajase-5938	269	50	)	)	PUNCT
ajase-5938	269	51	.	.	PUNCT
ajase-5938	270	1	also	also	ADV
ajase-5938	270	2	,	,	PUNCT
ajase-5938	270	3	our	our	PRON
ajase-5938	270	4	novel	novel	ADJ
ajase-5938	270	5	spcrenet	spcrenet	NOUN
ajase-5938	270	6	returned	return	VERB
ajase-5938	270	7	with	with	ADP
ajase-5938	270	8	the	the	DET
ajase-5938	270	9	least	least	ADJ
ajase-5938	270	10	mse	mse	NOUN
ajase-5938	270	11	and	and	CCONJ
ajase-5938	270	12	ranked	rank	VERB
ajase-5938	270	13	best	well	ADV
ajase-5938	270	14	(	(	PUNCT
ajase-5938	270	15	1st	1st	NOUN
ajase-5938	270	16	)	)	PUNCT
ajase-5938	270	17	on	on	ADP
ajase-5938	270	18	two	two	NUM
ajase-5938	270	19	occasions	occasion	NOUN
ajase-5938	270	20	namely	namely	ADV
ajase-5938	270	21	,	,	PUNCT
ajase-5938	270	22	p=150	p=150	PROPN
ajase-5938	270	23	&	&	CCONJ
ajase-5938	270	24	r=0.9	r=0.9	PROPN
ajase-5938	270	25	(	(	PUNCT
ajase-5938	270	26	mse=0.01112	mse=0.01112	PROPN
ajase-5938	270	27	)	)	PUNCT
ajase-5938	270	28	and	and	CCONJ
ajase-5938	270	29	p=200	p=200	PROPN
ajase-5938	270	30	&	&	CCONJ
ajase-5938	270	31	r=0.9	r=0.9	PROPN
ajase-5938	270	32	(	(	PUNCT
ajase-5938	270	33	mse=0.01801	mse=0.01801	NOUN
ajase-5938	270	34	)	)	PUNCT
ajase-5938	270	35	.	.	PUNCT
ajase-5938	271	1	similarly	similarly	ADV
ajase-5938	271	2	,	,	PUNCT
ajase-5938	271	3	our	our	PRON
ajase-5938	271	4	novel	novel	ADJ
ajase-5938	271	5	spcr	spcr	ADJ
ajase-5938	271	6	-	-	PUNCT
ajase-5938	271	7	scad	scad	NOUN
ajase-5938	271	8	returned	return	VERB
ajase-5938	271	9	with	with	ADP
ajase-5938	271	10	the	the	DET
ajase-5938	271	11	least	least	ADJ
ajase-5938	271	12	mse	mse	NOUN
ajase-5938	271	13	and	and	CCONJ
ajase-5938	271	14	ranked	rank	VERB
ajase-5938	271	15	best	well	ADV
ajase-5938	271	16	(	(	PUNCT
ajase-5938	271	17	1st	1st	NOUN
ajase-5938	271	18	)	)	PUNCT
ajase-5938	271	19	on	on	ADP
ajase-5938	271	20	two	two	NUM
ajase-5938	271	21	occasions	occasion	NOUN
ajase-5938	271	22	namely	namely	ADV
ajase-5938	271	23	,	,	PUNCT
ajase-5938	271	24	p=200	p=200	PROPN
ajase-5938	271	25	&	&	CCONJ
ajase-5938	271	26	r=0.1	r=0.1	PROPN
ajase-5938	271	27	(	(	PUNCT
ajase-5938	271	28	mse=0.0000029	mse=0.0000029	NOUN
ajase-5938	271	29	)	)	PUNCT
ajase-5938	271	30	and	and	CCONJ
ajase-5938	271	31	p=200	p=200	PROPN
ajase-5938	271	32	&	&	CCONJ
ajase-5938	271	33	r=0.5	r=0.5	NOUN
ajase-5938	271	34	(	(	PUNCT
ajase-5938	271	35	mse=0.00497	mse=0.00497	NOUN
ajase-5938	271	36	)	)	PUNCT
ajase-5938	271	37	.	.	PUNCT
ajase-5938	272	1	table	table	NOUN
ajase-5938	272	2	6	6	NUM
ajase-5938	272	3	and	and	CCONJ
ajase-5938	272	4	figure	figure	VERB
ajase-5938	272	5	5	5	NUM
ajase-5938	272	6	reveal	reveal	VERB
ajase-5938	272	7	our	our	PRON
ajase-5938	272	8	novel	novel	ADJ
ajase-5938	272	9	spcr	spcr	ADJ
ajase-5938	272	10	-	-	PUNCT
ajase-5938	272	11	lasso	lasso	NOUN
ajase-5938	272	12	with	with	ADP
ajase-5938	272	13	the	the	DET
ajase-5938	272	14	least	least	ADJ
ajase-5938	272	15	mse	mse	NOUN
ajase-5938	272	16	and	and	CCONJ
ajase-5938	272	17	1st	1st	ADJ
ajase-5938	272	18	ranking	ranking	NOUN
ajase-5938	272	19	when	when	SCONJ
ajase-5938	272	20	p=100	p=100	PROPN
ajase-5938	272	21	&	&	CCONJ
ajase-5938	272	22	r=0.1	r=0.1	NOUN
ajase-5938	272	23	(	(	PUNCT
ajase-5938	272	24	mse=0.04099	mse=0.04099	NOUN
ajase-5938	272	25	)	)	PUNCT
ajase-5938	272	26	.	.	PUNCT
ajase-5938	273	1	table	table	NOUN
ajase-5938	273	2	6	6	NUM
ajase-5938	273	3	:	:	PUNCT
ajase-5938	273	4	mse	mse	PROPN
ajase-5938	273	5	of	of	ADP
ajase-5938	273	6	ridge	ridge	PROPN
ajase-5938	273	7	,	,	PUNCT
ajase-5938	273	8	lasso	lasso	NOUN
ajase-5938	273	9	,	,	PUNCT
ajase-5938	273	10	elastic	elastic	ADJ
ajase-5938	273	11	-	-	PUNCT
ajase-5938	273	12	net	net	NOUN
ajase-5938	273	13	,	,	PUNCT
ajase-5938	273	14	scad	scad	NOUN
ajase-5938	273	15	and	and	CCONJ
ajase-5938	273	16	the	the	DET
ajase-5938	273	17	novel	novel	ADJ
ajase-5938	273	18	two	two	NUM
ajase-5938	273	19	-	-	PUNCT
ajase-5938	273	20	step	step	NOUN
ajase-5938	273	21	sparse	sparse	ADJ
ajase-5938	273	22	learning	learn	VERB
ajase-5938	273	23	regression	regression	NOUN
ajase-5938	273	24	models	model	NOUN
ajase-5938	273	25	under	under	ADP
ajase-5938	273	26	problem	problem	NOUN
ajase-5938	273	27	of	of	ADP
ajase-5938	273	28	high	high	ADJ
ajase-5938	273	29	dimensionality	dimensionality	NOUN
ajase-5938	273	30	and	and	CCONJ
ajase-5938	273	31	multicollinearity	multicollinearity	NOUN
ajase-5938	273	32	at	at	ADP
ajase-5938	273	33	higher	high	ADJ
ajase-5938	273	34	small	small	ADJ
ajase-5938	273	35	sample	sample	NOUN
ajase-5938	273	36	size	size	NOUN
ajase-5938	273	37	n	n	PRON
ajase-5938	273	38	sparsity	sparsity	NOUN
ajase-5938	273	39	10	10	NUM
ajase-5938	273	40	p	p	NOUN
ajase-5938	273	41	100	100	NUM
ajase-5938	273	42	150	150	NUM
ajase-5938	273	43	200	200	NUM
ajase-5938	273	44	r	r	NOUN
ajase-5938	273	45	0.1	0.1	NUM
ajase-5938	273	46	0.5	0.5	NUM
ajase-5938	273	47	0.9	0.9	NUM
ajase-5938	273	48	0.1	0.1	NUM
ajase-5938	273	49	0.5	0.5	NUM
ajase-5938	273	50	0.9	0.9	NUM
ajase-5938	273	51	0.1	0.1	NUM
ajase-5938	273	52	0.5	0.5	NUM
ajase-5938	273	53	0.9	0.9	NUM
ajase-5938	273	54	70	70	NUM
ajase-5938	273	55	ridge	ridge	NOUN
ajase-5938	273	56	16.2612	16.2612	NUM
ajase-5938	273	57	12.23781	12.23781	NUM
ajase-5938	274	1	4.03865	4.03865	NUM
ajase-5938	274	2	11.26075	11.26075	NUM
ajase-5938	274	3	11.60848	11.60848	NUM
ajase-5938	274	4	3.39042	3.39042	NUM
ajase-5938	274	5	8.64446	8.64446	NUM
ajase-5938	274	6	9.76361	9.76361	NUM
ajase-5938	274	7	2.67325	2.67325	NUM
ajase-5938	274	8	lasso	lasso	NOUN
ajase-5938	274	9	0.01239	0.01239	NUM
ajase-5938	274	10	0.06057	0.06057	NUM
ajase-5938	274	11	0.18933	0.18933	NUM
ajase-5938	274	12	0.000253	0.000253	NUM
ajase-5938	274	13	0.00860	0.00860	NUM
ajase-5938	274	14	0.08186	0.08186	NUM
ajase-5938	274	15	0.00108	0.00108	NUM
ajase-5938	274	16	0.00857	0.00857	NUM
ajase-5938	274	17	0.11078	0.11078	NUM
ajase-5938	274	18	enet	enet	NOUN
ajase-5938	274	19	0.04216	0.04216	NUM
ajase-5938	274	20	0.04236	0.04236	NUM
ajase-5938	274	21	0.30014	0.30014	NUM
ajase-5938	274	22	0.008587	0.008587	NUM
ajase-5938	274	23	0.02651	0.02651	NUM
ajase-5938	274	24	0.16821	0.16821	NUM
ajase-5938	274	25	0.00337	0.00337	NUM
ajase-5938	274	26	0.01337	0.01337	NUM
ajase-5938	274	27	0.10399	0.10399	NUM
ajase-5938	274	28	scad	scad	NOUN
ajase-5938	274	29	0.91239	0.91239	NUM
ajase-5938	274	30	0.42240	0.42240	NUM
ajase-5938	274	31	1.54271	1.54271	NUM
ajase-5938	274	32	0.061469	0.061469	NUM
ajase-5938	274	33	0.09442	0.09442	NUM
ajase-5938	274	34	0.70653	0.70653	NUM
ajase-5938	274	35	0.05592	0.05592	NUM
ajase-5938	274	36	0.04387	0.04387	NUM
ajase-5938	274	37	0.37114	0.37114	NUM
ajase-5938	274	38	spcr	spcr	ADJ
ajase-5938	274	39	-	-	PUNCT
ajase-5938	274	40	ridge	ridge	NOUN
ajase-5938	274	41	7.81776	7.81776	NUM
ajase-5938	274	42	2.56198	2.56198	NUM
ajase-5938	274	43	0.65102	0.65102	NUM
ajase-5938	274	44	20.5621	20.5621	NUM
ajase-5938	274	45	0.10744	0.10744	NUM
ajase-5938	274	46	0.48016	0.48016	NUM
ajase-5938	274	47	0.17769	0.17769	NUM
ajase-5938	274	48	0.77086	0.77086	NUM
ajase-5938	274	49	0.37926	0.37926	NUM
ajase-5938	274	50	spcr	spcr	ADJ
ajase-5938	274	51	-	-	PUNCT
ajase-5938	274	52	lasso	lasso	NOUN
ajase-5938	274	53	0.25674	0.25674	NUM
ajase-5938	274	54	0.26353	0.26353	NUM
ajase-5938	274	55	0.04099	0.04099	NUM
ajase-5938	274	56	0.39296	0.39296	NUM
ajase-5938	274	57	0.05496	0.05496	NUM
ajase-5938	274	58	0.01196	0.01196	NUM
ajase-5938	274	59	0.01360	0.01360	NUM
ajase-5938	274	60	0.01134	0.01134	NUM
ajase-5938	274	61	0.05829	0.05829	NUM
ajase-5938	274	62	spcr	spcr	ADJ
ajase-5938	274	63	-	-	PUNCT
ajase-5938	274	64	enet	enet	NOUN
ajase-5938	274	65	0.52689	0.52689	NUM
ajase-5938	274	66	0.39883	0.39883	NUM
ajase-5938	274	67	0.05059	0.05059	NUM
ajase-5938	274	68	0.55724	0.55724	NUM
ajase-5938	274	69	0.12907	0.12907	NUM
ajase-5938	274	70	0.01112	0.01112	NUM
ajase-5938	274	71	0.02494	0.02494	NUM
ajase-5938	274	72	0.05916	0.05916	NUM
ajase-5938	274	73	0.01801	0.01801	NUM
ajase-5938	274	74	spcr	spcr	ADJ
ajase-5938	274	75	-	-	PUNCT
ajase-5938	274	76	scad	scad	NOUN
ajase-5938	274	77	0.19465	0.19465	NUM
ajase-5938	274	78	0.60541	0.60541	NUM
ajase-5938	274	79	0.14201	0.14201	NUM
ajase-5938	274	80	0.14136	0.14136	NUM
ajase-5938	274	81	0.05721	0.05721	NUM
ajase-5938	274	82	0.01919	0.01919	NUM
ajase-5938	274	83	0.0000029	0.0000029	NUM
ajase-5938	274	84	0.00497	0.00497	NUM
ajase-5938	274	85	0.23454	0.23454	NUM
ajase-5938	274	86	sparsity	sparsity	NOUN
ajase-5938	274	87	30	30	NUM
ajase-5938	274	88	ridge	ridge	NOUN
ajase-5938	274	89	38.13883	38.13883	NUM
ajase-5938	274	90	37.66447	37.66447	NUM
ajase-5938	274	91	12.62623	12.62623	NUM
ajase-5938	274	92	24.65487	24.65487	NUM
ajase-5938	274	93	36.8325	36.8325	NUM
ajase-5938	274	94	11.61202	11.61202	NUM
ajase-5938	274	95	43.27625	43.27625	NUM
ajase-5938	274	96	40.24778	40.24778	NUM
ajase-5938	274	97	14.48422	14.48422	NUM
ajase-5938	274	98	lasso	lasso	NOUN
ajase-5938	274	99	0.00662	0.00662	NUM
ajase-5938	274	100	0.00338	0.00338	NUM
ajase-5938	274	101	0.37802	0.37802	NUM
ajase-5938	274	102	0.000527	0.000527	NUM
ajase-5938	274	103	0.00093	0.00093	NUM
ajase-5938	274	104	0.06559	0.06559	NUM
ajase-5938	274	105	0.00039	0.00039	NUM
ajase-5938	274	106	0.00097	0.00097	NUM
ajase-5938	274	107	0.03899	0.03899	NUM
ajase-5938	274	108	enet	enet	NOUN
ajase-5938	274	109	0.01231	0.01231	NUM
ajase-5938	274	110	0.01996	0.01996	NUM
ajase-5938	274	111	0.58596	0.58596	NUM
ajase-5938	274	112	0.01063	0.01063	NUM
ajase-5938	274	113	0.00397	0.00397	NUM
ajase-5938	274	114	0.15603	0.15603	NUM
ajase-5938	274	115	0.00169	0.00169	NUM
ajase-5938	274	116	0.01392	0.01392	NUM
ajase-5938	274	117	0.10182	0.10182	NUM
ajase-5938	274	118	scad	scad	NOUN
ajase-5938	274	119	0.54454	0.54454	NUM
ajase-5938	274	120	1.58249	1.58249	NUM
ajase-5938	274	121	7.48471	7.48471	NUM
ajase-5938	274	122	0.18944	0.18944	NUM
ajase-5938	274	123	0.75494	0.75494	NUM
ajase-5938	274	124	0.74484	0.74484	NUM
ajase-5938	274	125	0.38007	0.38007	NUM
ajase-5938	274	126	1.28358	1.28358	NUM
ajase-5938	274	127	1.70183	1.70183	NUM
ajase-5938	274	128	spcr	spcr	ADJ
ajase-5938	274	129	-	-	PUNCT
ajase-5938	274	130	ridge	ridge	NOUN
ajase-5938	274	131	1.05483	1.05483	NUM
ajase-5938	274	132	1.59691	1.59691	NUM
ajase-5938	274	133	1.40662	1.40662	NUM
ajase-5938	274	134	1.38173	1.38173	NUM
ajase-5938	274	135	2.20109	2.20109	NUM
ajase-5938	274	136	0.63355	0.63355	NUM
ajase-5938	274	137	20.95064	20.95064	NUM
ajase-5938	274	138	41.6646	41.6646	NUM
ajase-5938	274	139	0.58520	0.58520	NUM
ajase-5938	274	140	spcr	spcr	ADJ
ajase-5938	274	141	-	-	PUNCT
ajase-5938	274	142	lasso	lasso	NOUN
ajase-5938	274	143	0.01037	0.01037	NUM
ajase-5938	274	144	0.11502	0.11502	NUM
ajase-5938	275	1	0.10606	0.10606	NUM
ajase-5938	275	2	0.11955	0.11955	NUM
ajase-5938	275	3	0.08147	0.08147	NUM
ajase-5938	275	4	0.00544	0.00544	NUM
ajase-5938	275	5	0.37343	0.37343	NUM
ajase-5938	275	6	0.42448	0.42448	NUM
ajase-5938	275	7	0.00979	0.00979	NUM
ajase-5938	275	8	spcr	spcr	ADJ
ajase-5938	275	9	-	-	PUNCT
ajase-5938	275	10	enet	enet	NOUN
ajase-5938	275	11	0.10300	0.10300	NUM
ajase-5938	275	12	0.23069	0.23069	NUM
ajase-5938	275	13	0.04797	0.04797	NUM
ajase-5938	275	14	0.17829	0.17829	NUM
ajase-5938	275	15	0.14697	0.14697	NUM
ajase-5938	275	16	0.01071	0.01071	NUM
ajase-5938	275	17	1.25418	1.25418	NUM
ajase-5938	275	18	0.87494	0.87494	NUM
ajase-5938	275	19	0.01865	0.01865	NUM
ajase-5938	275	20	spcr	spcr	ADJ
ajase-5938	275	21	-	-	PUNCT
ajase-5938	275	22	scad	scad	NOUN
ajase-5938	275	23	0.01718	0.01718	NUM
ajase-5938	275	24	0.06238	0.06238	NUM
ajase-5938	275	25	0.12671	0.12671	NUM
ajase-5938	275	26	0.15924	0.15924	NUM
ajase-5938	275	27	0.14211	0.14211	NUM
ajase-5938	275	28	0.06971	0.06971	NUM
ajase-5938	275	29	0.52191	0.52191	NUM
ajase-5938	275	30	0.50069	0.50069	NUM
ajase-5938	275	31	0.02307	0.02307	NUM
ajase-5938	275	32	sparsity	sparsity	NOUN
ajase-5938	275	33	10	10	NUM
ajase-5938	275	34	p	p	NOUN
ajase-5938	275	35	120	120	NUM
ajase-5938	275	36	150	150	NUM
ajase-5938	275	37	200	200	NUM
ajase-5938	275	38	10	10	NUM
ajase-5938	275	39	0	0	NUM
ajase-5938	275	40	ridge	ridge	NOUN
ajase-5938	275	41	7.76100	7.76100	NUM
ajase-5938	275	42	12.6273	12.6273	NUM
ajase-5938	275	43	2.51623	2.51623	NUM
ajase-5938	275	44	15.30857	15.30857	NUM
ajase-5938	275	45	12.1868	12.1868	NUM
ajase-5938	275	46	3.17887	3.17887	NUM
ajase-5938	275	47	12.09962	12.09962	NUM
ajase-5938	275	48	12.77974	12.77974	NUM
ajase-5938	275	49	2.54699	2.54699	NUM
ajase-5938	275	50	lasso	lasso	NOUN
ajase-5938	275	51	0.03929	0.03929	NOUN
ajase-5938	275	52	0.09684	0.09684	NUM
ajase-5938	275	53	0.50299	0.50299	NUM
ajase-5938	275	54	0.01276	0.01276	NUM
ajase-5938	275	55	0.00601	0.00601	NUM
ajase-5938	275	56	0.20818	0.20818	NUM
ajase-5938	275	57	0.00835	0.00835	NUM
ajase-5938	275	58	0.00496	0.00496	NUM
ajase-5938	275	59	0.08117	0.08117	NUM
ajase-5938	275	60	enet	enet	NOUN
ajase-5938	275	61	0.04664	0.04664	NUM
ajase-5938	275	62	0.10807	0.10807	NUM
ajase-5938	275	63	0.51229	0.51229	NUM
ajase-5938	275	64	0.03871	0.03871	NUM
ajase-5938	275	65	0.02988	0.02988	NUM
ajase-5938	275	66	0.32757	0.32757	NUM
ajase-5938	275	67	0.01998	0.01998	NUM
ajase-5938	275	68	0.01209	0.01209	NUM
ajase-5938	275	69	0.13614	0.13614	NUM
ajase-5938	275	70	scad	scad	NOUN
ajase-5938	275	71	0.09555	0.09555	NUM
ajase-5938	275	72	0.26393	0.26393	NUM
ajase-5938	275	73	0.97131	0.97131	NUM
ajase-5938	276	1	0.28428	0.28428	NUM
ajase-5938	276	2	0.18236	0.18236	NUM
ajase-5938	276	3	0.61504	0.61504	NUM
ajase-5938	276	4	0.07291	0.07291	NUM
ajase-5938	276	5	0.19182	0.19182	NUM
ajase-5938	276	6	0.60169	0.60169	NUM
ajase-5938	276	7	spcr	spcr	ADJ
ajase-5938	276	8	-	-	PUNCT
ajase-5938	276	9	ridge	ridge	NOUN
ajase-5938	276	10	0.60385	0.60385	NUM
ajase-5938	276	11	2.70444	2.70444	NUM
ajase-5938	276	12	0.80414	0.80414	NUM
ajase-5938	276	13	1.10457	1.10457	NUM
ajase-5938	276	14	0.45551	0.45551	NUM
ajase-5938	276	15	0.67572	0.67572	NUM
ajase-5938	276	16	3.83138	3.83138	NUM
ajase-5938	276	17	0.55069	0.55069	NUM
ajase-5938	276	18	0.42212	0.42212	NUM
ajase-5938	276	19	spcr	spcr	ADJ
ajase-5938	276	20	-	-	PUNCT
ajase-5938	276	21	lasso	lasso	NOUN
ajase-5938	276	22	0.10859	0.10859	NUM
ajase-5938	277	1	0.32131	0.32131	NUM
ajase-5938	277	2	0.04616	0.04616	NUM
ajase-5938	277	3	0.04605	0.04605	NUM
ajase-5938	277	4	0.11171	0.11171	NUM
ajase-5938	277	5	0.10353	0.10353	NUM
ajase-5938	277	6	0.27173	0.27173	NUM
ajase-5938	277	7	0.03944	0.03944	NUM
ajase-5938	277	8	0.00243	0.00243	NUM
ajase-5938	277	9	spcr	spcr	ADJ
ajase-5938	277	10	-	-	PUNCT
ajase-5938	277	11	enet	enet	NOUN
ajase-5938	277	12	0.20375	0.20375	NUM
ajase-5938	277	13	0.86351	0.86351	NUM
ajase-5938	277	14	0.15666	0.15666	NUM
ajase-5938	277	15	0.05838	0.05838	NUM
ajase-5938	277	16	0.08879	0.08879	NUM
ajase-5938	277	17	0.24179	0.24179	NUM
ajase-5938	277	18	0.74755	0.74755	NUM
ajase-5938	277	19	0.04253	0.04253	NUM
ajase-5938	277	20	0.14797	0.14797	NUM
ajase-5938	277	21	spcr	spcr	ADJ
ajase-5938	277	22	-	-	PUNCT
ajase-5938	277	23	scad	scad	NOUN
ajase-5938	277	24	0.11849	0.11849	NUM
ajase-5938	277	25	0.47327	0.47327	NUM
ajase-5938	277	26	0.37146	0.37146	NUM
ajase-5938	277	27	0.03035	0.03035	NUM
ajase-5938	277	28	0.23513	0.23513	NUM
ajase-5938	277	29	0.42612	0.42612	NUM
ajase-5938	277	30	0.29195	0.29195	NUM
ajase-5938	277	31	0.00853	0.00853	NUM
ajase-5938	277	32	0.00307	0.00307	NUM
ajase-5938	277	33	sparsity	sparsity	NOUN
ajase-5938	277	34	30	30	NUM
ajase-5938	277	35	ridge	ridge	NOUN
ajase-5938	277	36	44.73326	44.73326	NUM
ajase-5938	277	37	43.83492	43.83492	NUM
ajase-5938	277	38	8.42825	8.42825	NUM
ajase-5938	277	39	25.9745	25.9745	NUM
ajase-5938	277	40	36.23507	36.23507	NUM
ajase-5938	277	41	9.66694	9.66694	NUM
ajase-5938	277	42	40.51713	40.51713	NUM
ajase-5938	277	43	26.12172	26.12172	NUM
ajase-5938	277	44	10.96855	10.96855	NUM
ajase-5938	277	45	lasso	lasso	NOUN
ajase-5938	277	46	0.00553	0.00553	NUM
ajase-5938	277	47	0.02191	0.02191	NUM
ajase-5938	277	48	0.25439	0.25439	NUM
ajase-5938	277	49	0.00293	0.00293	NUM
ajase-5938	277	50	0.00363	0.00363	NUM
ajase-5938	277	51	0.16858	0.16858	NUM
ajase-5938	277	52	0.00104	0.00104	NUM
ajase-5938	277	53	0.00111	0.00111	NUM
ajase-5938	277	54	0.12742	0.12742	NUM
ajase-5938	277	55	enet	enet	NOUN
ajase-5938	277	56	0.01770	0.01770	NUM
ajase-5938	277	57	0.05789	0.05789	NUM
ajase-5938	277	58	0.38731	0.38731	NUM
ajase-5938	277	59	0.00866	0.00866	NUM
ajase-5938	277	60	0.01271	0.01271	NUM
ajase-5938	277	61	0.30531	0.30531	NUM
ajase-5938	277	62	0.00383	0.00383	NUM
ajase-5938	277	63	0.00347	0.00347	NUM
ajase-5938	277	64	0.26067	0.26067	NUM
ajase-5938	277	65	scad	scad	NOUN
ajase-5938	277	66	0.42485	0.42485	NUM
ajase-5938	277	67	1.01778	1.01778	NUM
ajase-5938	277	68	1.44601	1.44601	NUM
ajase-5938	277	69	0.76685	0.76685	NUM
ajase-5938	277	70	0.50686	0.50686	NUM
ajase-5938	277	71	2.20988	2.20988	NUM
ajase-5938	277	72	0.28645	0.28645	NUM
ajase-5938	277	73	0.66346	0.66346	NUM
ajase-5938	277	74	0.88463	0.88463	NUM
ajase-5938	277	75	spcr	spcr	ADJ
ajase-5938	277	76	-	-	PUNCT
ajase-5938	277	77	ridge	ridge	NOUN
ajase-5938	277	78	4.84146	4.84146	NUM
ajase-5938	277	79	1.15390	1.15390	NUM
ajase-5938	277	80	0.93489	0.93489	NUM
ajase-5938	277	81	1.80877	1.80877	NUM
ajase-5938	277	82	3.69042	3.69042	NUM
ajase-5938	277	83	0.79279	0.79279	NUM
ajase-5938	277	84	9.05412	9.05412	NUM
ajase-5938	277	85	3.75005	3.75005	NUM
ajase-5938	277	86	0.97242	0.97242	NUM
ajase-5938	277	87	spcr	spcr	ADJ
ajase-5938	277	88	-	-	PUNCT
ajase-5938	277	89	lasso	lasso	NOUN
ajase-5938	277	90	0.09466	0.09466	NUM
ajase-5938	277	91	0.10141	0.10141	NUM
ajase-5938	277	92	0.07998	0.07998	NUM
ajase-5938	277	93	0.09151	0.09151	NUM
ajase-5938	277	94	0.19978	0.19978	NUM
ajase-5938	277	95	0.05461	0.05461	NUM
ajase-5938	277	96	1.69562	1.69562	NUM
ajase-5938	277	97	0.75744	0.75744	NUM
ajase-5938	277	98	0.05299	0.05299	NUM
ajase-5938	277	99	spcr	spcr	ADJ
ajase-5938	277	100	-	-	PUNCT
ajase-5938	277	101	enet	enet	NOUN
ajase-5938	277	102	0.63696	0.63696	NUM
ajase-5938	277	103	0.06535	0.06535	NUM
ajase-5938	277	104	0.16816	0.16816	NUM
ajase-5938	277	105	0.18488	0.18488	NUM
ajase-5938	277	106	0.50735	0.50735	NUM
ajase-5938	277	107	0.06652	0.06652	NUM
ajase-5938	277	108	4.53791	4.53791	NUM
ajase-5938	277	109	0.79444	0.79444	NUM
ajase-5938	277	110	0.06279	0.06279	NUM
ajase-5938	277	111	spcr	spcr	ADJ
ajase-5938	277	112	-	-	PUNCT
ajase-5938	277	113	scad	scad	NOUN
ajase-5938	277	114	0.50354	0.50354	NUM
ajase-5938	277	115	0.32955	0.32955	NUM
ajase-5938	277	116	0.15189	0.15189	NUM
ajase-5938	277	117	0.20898	0.20898	NUM
ajase-5938	277	118	0.28904	0.28904	NUM
ajase-5938	278	1	0.06717	0.06717	NUM
ajase-5938	278	2	0.00176	0.00176	NUM
ajase-5938	278	3	0.46458	0.46458	NUM
ajase-5938	278	4	0.06440	0.06440	NUM
ajase-5938	278	5	source	source	NOUN
ajase-5938	278	6	:	:	PUNCT
ajase-5938	278	7	researchers	researcher	NOUN
ajase-5938	278	8	’	'	PUNCT
ajase-5938	278	9	compilations	compilation	NOUN
ajase-5938	278	10	from	from	ADP
ajase-5938	278	11	r	r	NOUN
ajase-5938	278	12	-	-	PUNCT
ajase-5938	278	13	outputs	outputs	NOUN
ajase-5938	278	14	pa	pa	PROPN
ajase-5938	278	15	ge	ge	PROPN
ajase-5938	278	16	13	13	NUM
ajase-5938	278	17	7	7	NUM
ajase-5938	278	18	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5938	278	19	am	am	NOUN
ajase-5938	278	20	.	.	PUNCT
ajase-5938	279	1	j.	j.	PROPN
ajase-5938	279	2	appl	appl	PROPN
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ajase-5938	280	1	stat	stat	PROPN
ajase-5938	280	2	.	.	PUNCT
ajase-5938	281	1	econ	econ	PROPN
ajase-5938	281	2	.	.	PUNCT
ajase-5938	282	1	4(1	4(1	X
ajase-5938	282	2	)	)	PUNCT
ajase-5938	283	1	127	127	NUM
ajase-5938	283	2	-	-	SYM
ajase-5938	283	3	140	140	NUM
ajase-5938	283	4	,	,	PUNCT
ajase-5938	283	5	2025	2025	NUM
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ajase-5938	283	7	6	6	NUM
ajase-5938	283	8	:	:	PUNCT
ajase-5938	283	9	performance	performance	NOUN
ajase-5938	283	10	ranks	rank	NOUN
ajase-5938	283	11	of	of	ADP
ajase-5938	283	12	each	each	DET
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ajase-5938	283	14	under	under	ADP
ajase-5938	283	15	varied	varied	ADJ
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ajase-5938	283	17	of	of	ADP
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ajase-5938	283	23	sample	sample	NOUN
ajase-5938	283	24	size	size	NOUN
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ajase-5938	283	27	30	30	NUM
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ajase-5938	283	29	sparse	sparse	ADJ
ajase-5938	283	30	figure	figure	NOUN
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ajase-5938	283	32	:	:	PUNCT
ajase-5938	283	33	performance	performance	NOUN
ajase-5938	283	34	ranks	rank	NOUN
ajase-5938	283	35	of	of	ADP
ajase-5938	283	36	each	each	DET
ajase-5938	283	37	estimator	estimator	NOUN
ajase-5938	283	38	under	under	ADP
ajase-5938	283	39	varied	varied	ADJ
ajase-5938	283	40	levels	level	NOUN
ajase-5938	283	41	of	of	ADP
ajase-5938	283	42	high	high	ADJ
ajase-5938	283	43	dimensionality	dimensionality	NOUN
ajase-5938	283	44	and	and	CCONJ
ajase-5938	283	45	multicollinearity	multicollinearity	NOUN
ajase-5938	283	46	for	for	ADP
ajase-5938	283	47	sample	sample	NOUN
ajase-5938	283	48	size	size	NOUN
ajase-5938	283	49	70	70	NUM
ajase-5938	283	50	with	with	ADP
ajase-5938	283	51	10	10	NUM
ajase-5938	283	52	%	%	NOUN
ajase-5938	283	53	sparse	sparse	ADJ
ajase-5938	283	54	in	in	ADP
ajase-5938	283	55	addition	addition	NOUN
ajase-5938	283	56	,	,	PUNCT
ajase-5938	283	57	considering	consider	VERB
ajase-5938	283	58	sample	sample	NOUN
ajase-5938	283	59	size	size	NOUN
ajase-5938	283	60	70	70	NUM
ajase-5938	283	61	with	with	ADP
ajase-5938	283	62	30	30	NUM
ajase-5938	283	63	%	%	NOUN
ajase-5938	283	64	sparsity	sparsity	NOUN
ajase-5938	283	65	,	,	PUNCT
ajase-5938	283	66	table	table	NOUN
ajase-5938	283	67	6	6	NUM
ajase-5938	283	68	and	and	CCONJ
ajase-5938	283	69	figure	figure	VERB
ajase-5938	283	70	6	6	NUM
ajase-5938	283	71	reveal	reveal	VERB
ajase-5938	283	72	lasso	lasso	NOUN
ajase-5938	283	73	estimator	estimator	NOUN
ajase-5938	283	74	with	with	ADP
ajase-5938	283	75	lowest	low	ADJ
ajase-5938	283	76	mse	mse	NOUN
ajase-5938	283	77	and	and	CCONJ
ajase-5938	283	78	ranked	rank	VERB
ajase-5938	283	79	1st	1st	NOUN
ajase-5938	283	80	on	on	ADP
ajase-5938	283	81	six	six	NUM
ajase-5938	283	82	occasions	occasion	NOUN
ajase-5938	283	83	namely	namely	ADV
ajase-5938	283	84	p=100	p=100	PROPN
ajase-5938	283	85	&	&	CCONJ
ajase-5938	283	86	r=0.1	r=0.1	PROPN
ajase-5938	283	87	(	(	PUNCT
ajase-5938	283	88	mse=0.00662	mse=0.00662	PROPN
ajase-5938	283	89	)	)	PUNCT
ajase-5938	283	90	,	,	PUNCT
ajase-5938	283	91	p=100	p=100	PROPN
ajase-5938	283	92	&	&	CCONJ
ajase-5938	283	93	r=0.5	r=0.5	NOUN
ajase-5938	283	94	(	(	PUNCT
ajase-5938	283	95	mse=0.00338),p=150	mse=0.00338),p=150	NOUN
ajase-5938	283	96	&	&	CCONJ
ajase-5938	283	97	r=0.1	r=0.1	NOUN
ajase-5938	283	98	(	(	PUNCT
ajase-5938	283	99	mse=0.000527	mse=0.000527	PROPN
ajase-5938	283	100	)	)	PUNCT
ajase-5938	283	101	,	,	PUNCT
ajase-5938	283	102	p=150	p=150	PROPN
ajase-5938	283	103	&	&	CCONJ
ajase-5938	283	104	r=0.5	r=0.5	NOUN
ajase-5938	283	105	(	(	PUNCT
ajase-5938	283	106	mse=0.00093	mse=0.00093	NOUN
ajase-5938	283	107	)	)	PUNCT
ajase-5938	283	108	,	,	PUNCT
ajase-5938	283	109	p=200	p=200	PROPN
ajase-5938	283	110	&	&	CCONJ
ajase-5938	283	111	r=0.1	r=0.1	NOUN
ajase-5938	283	112	(	(	PUNCT
ajase-5938	283	113	mse=0.00039	mse=0.00039	PROPN
ajase-5938	283	114	)	)	PUNCT
ajase-5938	283	115	,	,	PUNCT
ajase-5938	283	116	and	and	CCONJ
ajase-5938	283	117	p=200	p=200	PROPN
ajase-5938	283	118	&	&	CCONJ
ajase-5938	283	119	r=0.5	r=0.5	NOUN
ajase-5938	283	120	(	(	PUNCT
ajase-5938	283	121	mse=0.00097	mse=0.00097	NOUN
ajase-5938	283	122	)	)	PUNCT
ajase-5938	283	123	.	.	PUNCT
ajase-5938	284	1	the	the	DET
ajase-5938	284	2	table	table	NOUN
ajase-5938	284	3	and	and	CCONJ
ajase-5938	284	4	figure	figure	VERB
ajase-5938	284	5	further	far	ADV
ajase-5938	284	6	depict	depict	VERB
ajase-5938	284	7	our	our	PRON
ajase-5938	284	8	novel	novel	ADJ
ajase-5938	284	9	spcrlasso	spcrlasso	NOUN
ajase-5938	284	10	estimator	estimator	NOUN
ajase-5938	284	11	with	with	ADP
ajase-5938	284	12	the	the	DET
ajase-5938	284	13	lowest	low	ADJ
ajase-5938	284	14	mse	mse	NOUN
ajase-5938	284	15	and	and	CCONJ
ajase-5938	284	16	best	well	ADV
ajase-5938	284	17	ranking	ranking	ADJ
ajase-5938	284	18	estimator	estimator	NOUN
ajase-5938	284	19	when	when	SCONJ
ajase-5938	284	20	p=150	p=150	PROPN
ajase-5938	284	21	&	&	CCONJ
ajase-5938	284	22	r=0.9	r=0.9	PROPN
ajase-5938	284	23	(	(	PUNCT
ajase-5938	284	24	mse=0.00544	mse=0.00544	PROPN
ajase-5938	284	25	)	)	PUNCT
ajase-5938	284	26	,	,	PUNCT
ajase-5938	284	27	and	and	CCONJ
ajase-5938	284	28	p=200	p=200	PROPN
ajase-5938	284	29	&	&	CCONJ
ajase-5938	284	30	r=0.9	r=0.9	PROPN
ajase-5938	284	31	(	(	PUNCT
ajase-5938	284	32	mse=0.00979	mse=0.00979	CCONJ
ajase-5938	284	33	)	)	PUNCT
ajase-5938	284	34	as	as	ADV
ajase-5938	284	35	well	well	ADV
ajase-5938	284	36	as	as	ADP
ajase-5938	284	37	spcr	spcr	ADJ
ajase-5938	284	38	-	-	PUNCT
ajase-5938	284	39	enet	enet	NOUN
ajase-5938	284	40	when	when	SCONJ
ajase-5938	284	41	p=100	p=100	PROPN
ajase-5938	284	42	&	&	CCONJ
ajase-5938	284	43	r=0.9	r=0.9	PROPN
ajase-5938	284	44	(	(	PUNCT
ajase-5938	284	45	mse=0.04797	mse=0.04797	PROPN
ajase-5938	284	46	)	)	PUNCT
ajase-5938	284	47	.	.	PUNCT
ajase-5938	285	1	figure	figure	VERB
ajase-5938	285	2	7	7	NUM
ajase-5938	285	3	:	:	PUNCT
ajase-5938	285	4	performance	performance	NOUN
ajase-5938	285	5	ranks	rank	NOUN
ajase-5938	285	6	of	of	ADP
ajase-5938	285	7	each	each	DET
ajase-5938	285	8	estimator	estimator	NOUN
ajase-5938	285	9	under	under	ADP
ajase-5938	285	10	varied	varied	ADJ
ajase-5938	285	11	levels	level	NOUN
ajase-5938	285	12	of	of	ADP
ajase-5938	285	13	high	high	ADJ
ajase-5938	285	14	dimensionality	dimensionality	NOUN
ajase-5938	285	15	and	and	CCONJ
ajase-5938	285	16	multicollinearity	multicollinearity	NOUN
ajase-5938	285	17	for	for	ADP
ajase-5938	285	18	sample	sample	NOUN
ajase-5938	285	19	size	size	NOUN
ajase-5938	285	20	100	100	NUM
ajase-5938	285	21	with	with	ADP
ajase-5938	285	22	10	10	NUM
ajase-5938	285	23	%	%	NOUN
ajase-5938	285	24	sparse	sparse	ADJ
ajase-5938	286	1	pa	pa	PROPN
ajase-5938	286	2	ge	ge	PROPN
ajase-5938	286	3	13	13	NUM
ajase-5938	286	4	8	8	NUM
ajase-5938	286	5	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5938	286	6	am	am	NOUN
ajase-5938	286	7	.	.	PUNCT
ajase-5938	287	1	j.	j.	PROPN
ajase-5938	287	2	appl	appl	PROPN
ajase-5938	287	3	.	.	PROPN
ajase-5938	288	1	stat	stat	PROPN
ajase-5938	288	2	.	.	PUNCT
ajase-5938	289	1	econ	econ	PROPN
ajase-5938	289	2	.	.	PUNCT
ajase-5938	290	1	4(1	4(1	X
ajase-5938	290	2	)	)	PUNCT
ajase-5938	291	1	127	127	NUM
ajase-5938	291	2	-	-	SYM
ajase-5938	291	3	140	140	NUM
ajase-5938	291	4	,	,	PUNCT
ajase-5938	291	5	2025	2025	NUM
ajase-5938	291	6	figure	figure	NOUN
ajase-5938	291	7	8	8	NUM
ajase-5938	291	8	:	:	PUNCT
ajase-5938	291	9	performance	performance	NOUN
ajase-5938	291	10	ranks	rank	NOUN
ajase-5938	291	11	of	of	ADP
ajase-5938	291	12	each	each	DET
ajase-5938	291	13	estimator	estimator	NOUN
ajase-5938	291	14	under	under	ADP
ajase-5938	291	15	varied	varied	ADJ
ajase-5938	291	16	levels	level	NOUN
ajase-5938	291	17	of	of	ADP
ajase-5938	291	18	high	high	ADJ
ajase-5938	291	19	dimensionality	dimensionality	NOUN
ajase-5938	291	20	and	and	CCONJ
ajase-5938	291	21	multicollinearity	multicollinearity	NOUN
ajase-5938	291	22	for	for	ADP
ajase-5938	291	23	sample	sample	NOUN
ajase-5938	291	24	size	size	NOUN
ajase-5938	291	25	100	100	NUM
ajase-5938	291	26	with	with	ADP
ajase-5938	291	27	30	30	NUM
ajase-5938	291	28	%	%	NOUN
ajase-5938	291	29	sparse	sparse	NOUN
ajase-5938	291	30	furthermore	furthermore	ADV
ajase-5938	291	31	,	,	PUNCT
ajase-5938	291	32	considering	consider	VERB
ajase-5938	291	33	sample	sample	NOUN
ajase-5938	291	34	size	size	NOUN
ajase-5938	291	35	100	100	NUM
ajase-5938	291	36	with	with	ADP
ajase-5938	291	37	10	10	NUM
ajase-5938	291	38	%	%	NOUN
ajase-5938	291	39	sparsity	sparsity	NOUN
ajase-5938	291	40	,	,	PUNCT
ajase-5938	291	41	table	table	NOUN
ajase-5938	291	42	6	6	NUM
ajase-5938	291	43	and	and	CCONJ
ajase-5938	291	44	figure	figure	VERB
ajase-5938	291	45	7	7	NUM
ajase-5938	291	46	reveal	reveal	VERB
ajase-5938	291	47	lasso	lasso	NOUN
ajase-5938	291	48	estimator	estimator	NOUN
ajase-5938	291	49	with	with	ADP
ajase-5938	291	50	lowest	low	ADJ
ajase-5938	291	51	mse	mse	NOUN
ajase-5938	291	52	and	and	CCONJ
ajase-5938	291	53	ranked	rank	VERB
ajase-5938	291	54	1st	1st	NOUN
ajase-5938	291	55	on	on	ADP
ajase-5938	291	56	six	six	NUM
ajase-5938	291	57	occasions	occasion	NOUN
ajase-5938	291	58	namely	namely	ADV
ajase-5938	291	59	p=120	p=120	X
ajase-5938	291	60	&	&	CCONJ
ajase-5938	291	61	r=0.1	r=0.1	PROPN
ajase-5938	291	62	(	(	PUNCT
ajase-5938	291	63	mse=0.00662	mse=0.00662	PROPN
ajase-5938	291	64	)	)	PUNCT
ajase-5938	291	65	,	,	PUNCT
ajase-5938	291	66	p=120	p=120	PROPN
ajase-5938	291	67	&	&	CCONJ
ajase-5938	291	68	r=0.5	r=0.5	NOUN
ajase-5938	291	69	(	(	PUNCT
ajase-5938	291	70	mse=0.09684),p=150	mse=0.09684),p=150	NOUN
ajase-5938	291	71	&	&	CCONJ
ajase-5938	291	72	r=0.1	r=0.1	PROPN
ajase-5938	291	73	(	(	PUNCT
ajase-5938	291	74	mse=0.01276	mse=0.01276	NOUN
ajase-5938	291	75	)	)	PUNCT
ajase-5938	291	76	,	,	PUNCT
ajase-5938	291	77	p=150	p=150	PROPN
ajase-5938	291	78	&	&	CCONJ
ajase-5938	291	79	r=0.5	r=0.5	NOUN
ajase-5938	291	80	(	(	PUNCT
ajase-5938	291	81	mse=0.00601	mse=0.00601	NOUN
ajase-5938	291	82	)	)	PUNCT
ajase-5938	291	83	,	,	PUNCT
ajase-5938	291	84	p=200	p=200	PROPN
ajase-5938	291	85	&	&	CCONJ
ajase-5938	291	86	r=0.1	r=0.1	NOUN
ajase-5938	291	87	(	(	PUNCT
ajase-5938	291	88	mse=0.00835	mse=0.00835	NOUN
ajase-5938	291	89	)	)	PUNCT
ajase-5938	291	90	,	,	PUNCT
ajase-5938	291	91	and	and	CCONJ
ajase-5938	291	92	p=200	p=200	PROPN
ajase-5938	291	93	&	&	CCONJ
ajase-5938	291	94	r=0.5	r=0.5	NOUN
ajase-5938	291	95	(	(	PUNCT
ajase-5938	291	96	mse=0.00496	mse=0.00496	NOUN
ajase-5938	291	97	)	)	PUNCT
ajase-5938	291	98	.	.	PUNCT
ajase-5938	292	1	the	the	DET
ajase-5938	292	2	table	table	NOUN
ajase-5938	292	3	and	and	CCONJ
ajase-5938	292	4	figure	figure	NOUN
ajase-5938	292	5	establish	establish	VERB
ajase-5938	292	6	our	our	PRON
ajase-5938	292	7	novel	novel	ADJ
ajase-5938	292	8	spcr	spcr	ADJ
ajase-5938	292	9	-	-	PUNCT
ajase-5938	292	10	lasso	lasso	NOUN
ajase-5938	292	11	with	with	ADP
ajase-5938	292	12	the	the	DET
ajase-5938	292	13	least	least	ADJ
ajase-5938	292	14	mse	mse	NOUN
ajase-5938	292	15	and	and	CCONJ
ajase-5938	292	16	best	well	ADV
ajase-5938	292	17	ranking	ranking	ADJ
ajase-5938	292	18	estimator	estimator	NOUN
ajase-5938	292	19	when	when	SCONJ
ajase-5938	292	20	p=120	p=120	PROPN
ajase-5938	292	21	&	&	CCONJ
ajase-5938	292	22	r=0.9	r=0.9	PROPN
ajase-5938	292	23	(	(	PUNCT
ajase-5938	292	24	mse=0.07998	mse=0.07998	PROPN
ajase-5938	292	25	)	)	PUNCT
ajase-5938	292	26	,	,	PUNCT
ajase-5938	292	27	p=150	p=150	PROPN
ajase-5938	292	28	&	&	CCONJ
ajase-5938	292	29	r=0.9	r=0.9	PROPN
ajase-5938	292	30	(	(	PUNCT
ajase-5938	292	31	mse=0.10353	mse=0.10353	PROPN
ajase-5938	292	32	)	)	PUNCT
ajase-5938	292	33	and	and	CCONJ
ajase-5938	292	34	p=200	p=200	PROPN
ajase-5938	292	35	&	&	CCONJ
ajase-5938	292	36	r=0.9	r=0.9	PROPN
ajase-5938	292	37	(	(	PUNCT
ajase-5938	292	38	mse=0.00243	mse=0.00243	NOUN
ajase-5938	292	39	)	)	PUNCT
ajase-5938	292	40	.	.	PUNCT
ajase-5938	293	1	similarly	similarly	ADV
ajase-5938	293	2	,	,	PUNCT
ajase-5938	293	3	considering	consider	VERB
ajase-5938	293	4	sample	sample	NOUN
ajase-5938	293	5	size	size	NOUN
ajase-5938	293	6	100	100	NUM
ajase-5938	293	7	with	with	ADP
ajase-5938	293	8	30	30	NUM
ajase-5938	293	9	%	%	NOUN
ajase-5938	293	10	sparsity	sparsity	NOUN
ajase-5938	293	11	,	,	PUNCT
ajase-5938	293	12	table	table	NOUN
ajase-5938	293	13	6	6	NUM
ajase-5938	293	14	and	and	CCONJ
ajase-5938	293	15	figure	figure	VERB
ajase-5938	293	16	8	8	NUM
ajase-5938	293	17	reveal	reveal	VERB
ajase-5938	293	18	lasso	lasso	NOUN
ajase-5938	293	19	estimator	estimator	NOUN
ajase-5938	293	20	with	with	ADP
ajase-5938	293	21	lowest	low	ADJ
ajase-5938	293	22	mse	mse	NOUN
ajase-5938	293	23	and	and	CCONJ
ajase-5938	293	24	ranked	rank	VERB
ajase-5938	293	25	1st	1st	NOUN
ajase-5938	293	26	on	on	ADP
ajase-5938	293	27	six	six	NUM
ajase-5938	293	28	occasions	occasion	NOUN
ajase-5938	293	29	namely	namely	ADV
ajase-5938	293	30	p=120	p=120	X
ajase-5938	293	31	&	&	CCONJ
ajase-5938	293	32	r=0.1	r=0.1	NOUN
ajase-5938	293	33	(	(	PUNCT
ajase-5938	293	34	mse=0.00553	mse=0.00553	NOUN
ajase-5938	293	35	)	)	PUNCT
ajase-5938	293	36	,	,	PUNCT
ajase-5938	293	37	p=120	p=120	PROPN
ajase-5938	293	38	&	&	CCONJ
ajase-5938	293	39	r=0.5	r=0.5	NOUN
ajase-5938	293	40	(	(	PUNCT
ajase-5938	293	41	mse=0.02191),p=150	mse=0.02191),p=150	NOUN
ajase-5938	293	42	&	&	CCONJ
ajase-5938	293	43	r=0.1	r=0.1	PROPN
ajase-5938	293	44	(	(	PUNCT
ajase-5938	293	45	mse=0.00293	mse=0.00293	NOUN
ajase-5938	293	46	)	)	PUNCT
ajase-5938	293	47	,	,	PUNCT
ajase-5938	293	48	p=150	p=150	PROPN
ajase-5938	293	49	&	&	CCONJ
ajase-5938	293	50	r=0.5	r=0.5	NOUN
ajase-5938	293	51	(	(	PUNCT
ajase-5938	293	52	mse=0.00363	mse=0.00363	ADJ
ajase-5938	293	53	)	)	PUNCT
ajase-5938	293	54	,	,	PUNCT
ajase-5938	293	55	p=200	p=200	PROPN
ajase-5938	293	56	&	&	CCONJ
ajase-5938	293	57	r=0.1	r=0.1	PROPN
ajase-5938	293	58	(	(	PUNCT
ajase-5938	293	59	mse=0.00104	mse=0.00104	NOUN
ajase-5938	293	60	)	)	PUNCT
ajase-5938	293	61	,	,	PUNCT
ajase-5938	293	62	and	and	CCONJ
ajase-5938	293	63	p=200	p=200	PROPN
ajase-5938	293	64	&	&	CCONJ
ajase-5938	293	65	r=0.5	r=0.5	NOUN
ajase-5938	293	66	(	(	PUNCT
ajase-5938	293	67	mse=0.00111	mse=0.00111	NOUN
ajase-5938	293	68	)	)	PUNCT
ajase-5938	293	69	.	.	PUNCT
ajase-5938	294	1	the	the	DET
ajase-5938	294	2	table	table	NOUN
ajase-5938	294	3	and	and	CCONJ
ajase-5938	294	4	figure	figure	NOUN
ajase-5938	294	5	establish	establish	VERB
ajase-5938	294	6	our	our	PRON
ajase-5938	294	7	novel	novel	ADJ
ajase-5938	294	8	spcr	spcr	ADJ
ajase-5938	294	9	-	-	PUNCT
ajase-5938	294	10	lasso	lasso	NOUN
ajase-5938	294	11	with	with	ADP
ajase-5938	294	12	the	the	DET
ajase-5938	294	13	least	least	ADJ
ajase-5938	294	14	mse	mse	NOUN
ajase-5938	294	15	and	and	CCONJ
ajase-5938	294	16	best	well	ADV
ajase-5938	294	17	ranking	ranking	ADJ
ajase-5938	294	18	estimator	estimator	NOUN
ajase-5938	294	19	when	when	SCONJ
ajase-5938	294	20	p=120	p=120	PROPN
ajase-5938	294	21	&	&	CCONJ
ajase-5938	294	22	r=0.9	r=0.9	PROPN
ajase-5938	294	23	(	(	PUNCT
ajase-5938	294	24	mse=0.04616	mse=0.04616	PROPN
ajase-5938	294	25	)	)	PUNCT
ajase-5938	294	26	,	,	PUNCT
ajase-5938	294	27	p=150	p=150	PROPN
ajase-5938	294	28	&	&	CCONJ
ajase-5938	294	29	r=0.9	r=0.9	PROPN
ajase-5938	294	30	(	(	PUNCT
ajase-5938	294	31	mse=0.05461	mse=0.05461	ADJ
ajase-5938	294	32	)	)	PUNCT
ajase-5938	294	33	and	and	CCONJ
ajase-5938	294	34	p=200	p=200	PROPN
ajase-5938	294	35	&	&	CCONJ
ajase-5938	294	36	r=0.9	r=0.9	PROPN
ajase-5938	294	37	(	(	PUNCT
ajase-5938	294	38	mse=0.05299	mse=0.05299	NOUN
ajase-5938	294	39	)	)	PUNCT
ajase-5938	294	40	.	.	PUNCT
ajase-5938	295	1	findings	finding	NOUN
ajase-5938	295	2	summary	summary	NOUN
ajase-5938	295	3	,	,	PUNCT
ajase-5938	295	4	discussion	discussion	NOUN
ajase-5938	295	5	of	of	ADP
ajase-5938	295	6	findings	finding	NOUN
ajase-5938	295	7	,	,	PUNCT
ajase-5938	295	8	and	and	CCONJ
ajase-5938	295	9	conclusion	conclusion	NOUN
ajase-5938	295	10	findings	finding	NOUN
ajase-5938	295	11	by	by	ADP
ajase-5938	295	12	small	small	ADJ
ajase-5938	295	13	sample	sample	NOUN
ajase-5938	295	14	sizes	size	NOUN
ajase-5938	295	15	and	and	CCONJ
ajase-5938	295	16	dimensionality	dimensionality	NOUN
ajase-5938	295	17	at	at	ADP
ajase-5938	295	18	extremely	extremely	ADV
ajase-5938	295	19	small	small	ADJ
ajase-5938	295	20	sample	sample	NOUN
ajase-5938	295	21	sizes	size	NOUN
ajase-5938	295	22	(	(	PUNCT
ajase-5938	295	23	n=30	n=30	NOUN
ajase-5938	295	24	)	)	PUNCT
ajase-5938	295	25	,	,	PUNCT
ajase-5938	295	26	spcr	spcr	ADJ
ajase-5938	295	27	-	-	PUNCT
ajase-5938	295	28	lasso	lasso	NOUN
ajase-5938	295	29	consistently	consistently	ADV
ajase-5938	295	30	outperformed	outperform	VERB
ajase-5938	295	31	all	all	DET
ajase-5938	295	32	other	other	ADJ
ajase-5938	295	33	estimators	estimator	NOUN
ajase-5938	295	34	,	,	PUNCT
ajase-5938	295	35	especially	especially	ADV
ajase-5938	295	36	when	when	SCONJ
ajase-5938	295	37	dimensionality	dimensionality	NOUN
ajase-5938	295	38	was	be	AUX
ajase-5938	295	39	high	high	ADJ
ajase-5938	295	40	(	(	PUNCT
ajase-5938	295	41	p=7	p=7	NUM
ajase-5938	295	42	or	or	CCONJ
ajase-5938	295	43	p=200	p=200	NUM
ajase-5938	295	44	)	)	PUNCT
ajase-5938	295	45	.	.	PUNCT
ajase-5938	296	1	this	this	PRON
ajase-5938	296	2	demonstrates	demonstrate	VERB
ajase-5938	296	3	the	the	DET
ajase-5938	296	4	strength	strength	NOUN
ajase-5938	296	5	of	of	ADP
ajase-5938	296	6	spcr	spcr	ADJ
ajase-5938	296	7	-	-	PUNCT
ajase-5938	296	8	lasso	lasso	NOUN
ajase-5938	296	9	in	in	ADP
ajase-5938	296	10	smallsample	smallsample	ADJ
ajase-5938	296	11	,	,	PUNCT
ajase-5938	296	12	high	high	ADJ
ajase-5938	296	13	-	-	PUNCT
ajase-5938	296	14	dimensional	dimensional	ADJ
ajase-5938	296	15	contexts	contexts	NOUN
ajase-5938	296	16	,	,	PUNCT
ajase-5938	296	17	where	where	SCONJ
ajase-5938	296	18	traditional	traditional	ADJ
ajase-5938	296	19	lasso	lasso	NOUN
ajase-5938	296	20	,	,	PUNCT
ajase-5938	296	21	ridge	ridge	NOUN
ajase-5938	296	22	,	,	PUNCT
ajase-5938	296	23	or	or	CCONJ
ajase-5938	296	24	elastic	elastic	ADJ
ajase-5938	296	25	net	net	NOUN
ajase-5938	296	26	tend	tend	VERB
ajase-5938	296	27	to	to	PART
ajase-5938	296	28	become	become	VERB
ajase-5938	296	29	unstable	unstable	ADJ
ajase-5938	296	30	.	.	PUNCT
ajase-5938	297	1	at	at	ADP
ajase-5938	297	2	moderately	moderately	ADV
ajase-5938	297	3	small	small	ADJ
ajase-5938	297	4	sample	sample	NOUN
ajase-5938	297	5	sizes	size	NOUN
ajase-5938	297	6	(	(	PUNCT
ajase-5938	297	7	n=50	n=50	ADJ
ajase-5938	297	8	)	)	PUNCT
ajase-5938	297	9	,	,	PUNCT
ajase-5938	297	10	results	result	NOUN
ajase-5938	297	11	showed	show	VERB
ajase-5938	297	12	variation	variation	NOUN
ajase-5938	297	13	across	across	ADP
ajase-5938	297	14	conditions	condition	NOUN
ajase-5938	297	15	:	:	PUNCT
ajase-5938	297	16	spcr	spcr	ADJ
ajase-5938	297	17	-	-	PUNCT
ajase-5938	297	18	scad	scad	NOUN
ajase-5938	297	19	excelled	excel	VERB
ajase-5938	297	20	in	in	ADP
ajase-5938	297	21	contexts	context	NOUN
ajase-5938	297	22	of	of	ADP
ajase-5938	297	23	low	low	ADJ
ajase-5938	297	24	sparsity	sparsity	NOUN
ajase-5938	297	25	and	and	CCONJ
ajase-5938	297	26	low	low	ADJ
ajase-5938	297	27	correlation	correlation	NOUN
ajase-5938	297	28	.	.	PUNCT
ajase-5938	298	1	spcr	spcr	ADJ
ajase-5938	298	2	-	-	PUNCT
ajase-5938	298	3	lasso	lasso	ADJ
ajase-5938	298	4	and	and	CCONJ
ajase-5938	298	5	spcr	spcr	ADJ
ajase-5938	298	6	-	-	PUNCT
ajase-5938	298	7	enet	enet	NOUN
ajase-5938	298	8	provided	provide	VERB
ajase-5938	298	9	superior	superior	ADJ
ajase-5938	298	10	performance	performance	NOUN
ajase-5938	298	11	under	under	ADP
ajase-5938	298	12	higher	high	ADJ
ajase-5938	298	13	correlation	correlation	NOUN
ajase-5938	298	14	and	and	CCONJ
ajase-5938	298	15	dimensionality	dimensionality	NOUN
ajase-5938	298	16	.	.	PUNCT
ajase-5938	299	1	as	as	SCONJ
ajase-5938	299	2	sample	sample	NOUN
ajase-5938	299	3	sizes	size	NOUN
ajase-5938	299	4	increased	increase	VERB
ajase-5938	299	5	further	far	ADV
ajase-5938	299	6	(	(	PUNCT
ajase-5938	299	7	n≥70	n≥70	NOUN
ajase-5938	299	8	)	)	PUNCT
ajase-5938	299	9	,	,	PUNCT
ajase-5938	299	10	spcr	spcr	ADJ
ajase-5938	299	11	-	-	PUNCT
ajase-5938	299	12	lasso	lasso	ADJ
ajase-5938	299	13	and	and	CCONJ
ajase-5938	299	14	spcr	spcr	ADJ
ajase-5938	299	15	-	-	PUNCT
ajase-5938	299	16	enet	enet	NOUN
ajase-5938	299	17	emerged	emerge	VERB
ajase-5938	299	18	as	as	ADP
ajase-5938	299	19	the	the	DET
ajase-5938	299	20	most	most	ADV
ajase-5938	299	21	consistent	consistent	ADJ
ajase-5938	299	22	and	and	CCONJ
ajase-5938	299	23	robust	robust	ADJ
ajase-5938	299	24	estimators	estimator	NOUN
ajase-5938	299	25	across	across	ADP
ajase-5938	299	26	both	both	CCONJ
ajase-5938	299	27	moderate	moderate	ADJ
ajase-5938	299	28	and	and	CCONJ
ajase-5938	299	29	high	high	ADJ
ajase-5938	299	30	correlations	correlation	NOUN
ajase-5938	299	31	.	.	PUNCT
ajase-5938	300	1	notably	notably	ADV
ajase-5938	300	2	,	,	PUNCT
ajase-5938	300	3	spcr	spcr	ADJ
ajase-5938	300	4	-	-	PUNCT
ajase-5938	300	5	enet	enet	NOUN
ajase-5938	300	6	showed	show	VERB
ajase-5938	300	7	particular	particular	ADJ
ajase-5938	300	8	strength	strength	NOUN
ajase-5938	300	9	in	in	ADP
ajase-5938	300	10	very	very	ADV
ajase-5938	300	11	highdimensional	highdimensional	ADJ
ajase-5938	300	12	scenarios	scenario	NOUN
ajase-5938	300	13	(	(	PUNCT
ajase-5938	300	14	p=200	p=200	PROPN
ajase-5938	300	15	)	)	PUNCT
ajase-5938	300	16	,	,	PUNCT
ajase-5938	300	17	reflecting	reflect	VERB
ajase-5938	300	18	its	its	PRON
ajase-5938	300	19	ability	ability	NOUN
ajase-5938	300	20	to	to	PART
ajase-5938	300	21	balance	balance	VERB
ajase-5938	300	22	shrinkage	shrinkage	NOUN
ajase-5938	300	23	and	and	CCONJ
ajase-5938	300	24	group	group	NOUN
ajase-5938	300	25	variable	variable	ADJ
ajase-5938	300	26	selection	selection	NOUN
ajase-5938	300	27	.	.	PUNCT
ajase-5938	301	1	findings	finding	NOUN
ajase-5938	301	2	by	by	ADP
ajase-5938	301	3	multicollinearity	multicollinearity	NOUN
ajase-5938	301	4	and	and	CCONJ
ajase-5938	301	5	sparsity	sparsity	NOUN
ajase-5938	301	6	the	the	DET
ajase-5938	301	7	findings	finding	NOUN
ajase-5938	301	8	also	also	ADV
ajase-5938	301	9	highlight	highlight	VERB
ajase-5938	301	10	clear	clear	ADJ
ajase-5938	301	11	interactions	interaction	NOUN
ajase-5938	301	12	between	between	ADP
ajase-5938	301	13	predictor	predictor	NOUN
ajase-5938	301	14	correlation	correlation	NOUN
ajase-5938	301	15	and	and	CCONJ
ajase-5938	301	16	sparsity	sparsity	NOUN
ajase-5938	301	17	:	:	PUNCT
ajase-5938	301	18	•	•	NOUN
ajase-5938	301	19	under	under	ADP
ajase-5938	301	20	low	low	ADJ
ajase-5938	301	21	correlation	correlation	NOUN
ajase-5938	301	22	(	(	PUNCT
ajase-5938	301	23	r=0.1	r=0.1	NOUN
ajase-5938	301	24	)	)	PUNCT
ajase-5938	301	25	,	,	PUNCT
ajase-5938	301	26	traditional	traditional	ADJ
ajase-5938	301	27	lasso	lasso	NOUN
ajase-5938	301	28	sometimes	sometimes	ADV
ajase-5938	301	29	matched	match	VERB
ajase-5938	301	30	or	or	CCONJ
ajase-5938	301	31	exceeded	exceed	VERB
ajase-5938	301	32	spcr	spcr	ADJ
ajase-5938	301	33	-	-	PUNCT
ajase-5938	301	34	based	base	VERB
ajase-5938	301	35	methods	method	NOUN
ajase-5938	301	36	in	in	ADP
ajase-5938	301	37	low	low	ADJ
ajase-5938	301	38	-	-	PUNCT
ajase-5938	301	39	dimensional	dimensional	ADJ
ajase-5938	301	40	settings	setting	NOUN
ajase-5938	301	41	,	,	PUNCT
ajase-5938	301	42	suggesting	suggest	VERB
ajase-5938	301	43	spcr	spcr	ADJ
ajase-5938	301	44	hybridization	hybridization	NOUN
ajase-5938	301	45	may	may	AUX
ajase-5938	301	46	not	not	PART
ajase-5938	301	47	always	always	ADV
ajase-5938	301	48	be	be	AUX
ajase-5938	301	49	necessary	necessary	ADJ
ajase-5938	301	50	in	in	ADP
ajase-5938	301	51	weakly	weakly	ADJ
ajase-5938	301	52	collinear	collinear	ADJ
ajase-5938	301	53	designs	design	NOUN
ajase-5938	301	54	.	.	PUNCT
ajase-5938	302	1	•	•	NUM
ajase-5938	302	2	under	under	ADP
ajase-5938	302	3	moderate	moderate	ADJ
ajase-5938	302	4	(	(	PUNCT
ajase-5938	302	5	r=0.5	r=0.5	NOUN
ajase-5938	302	6	)	)	PUNCT
ajase-5938	302	7	or	or	CCONJ
ajase-5938	302	8	high	high	ADJ
ajase-5938	302	9	correlation	correlation	NOUN
ajase-5938	302	10	(	(	PUNCT
ajase-5938	302	11	r=0.9	r=0.9	NOUN
ajase-5938	302	12	)	)	PUNCT
ajase-5938	302	13	,	,	PUNCT
ajase-5938	302	14	spcr	spcr	ADJ
ajase-5938	302	15	-	-	PUNCT
ajase-5938	302	16	lasso	lasso	ADJ
ajase-5938	302	17	and	and	CCONJ
ajase-5938	302	18	spcr	spcr	ADJ
ajase-5938	302	19	-	-	PUNCT
ajase-5938	302	20	enet	enet	NOUN
ajase-5938	302	21	decisively	decisively	ADV
ajase-5938	302	22	outperformed	outperform	VERB
ajase-5938	302	23	alternatives	alternative	NOUN
ajase-5938	302	24	,	,	PUNCT
ajase-5938	302	25	confirming	confirm	VERB
ajase-5938	302	26	the	the	DET
ajase-5938	302	27	necessity	necessity	NOUN
ajase-5938	302	28	of	of	ADP
ajase-5938	302	29	the	the	DET
ajase-5938	302	30	spcr	spcr	ADJ
ajase-5938	302	31	step	step	NOUN
ajase-5938	302	32	for	for	ADP
ajase-5938	302	33	mitigating	mitigate	VERB
ajase-5938	302	34	multicollinearity	multicollinearity	NOUN
ajase-5938	302	35	.	.	PUNCT
ajase-5938	303	1	•	•	NOUN
ajase-5938	303	2	with	with	ADP
ajase-5938	303	3	respect	respect	NOUN
ajase-5938	303	4	to	to	ADP
ajase-5938	303	5	sparsity	sparsity	NOUN
ajase-5938	303	6	,	,	PUNCT
ajase-5938	303	7	spcr	spcr	ADJ
ajase-5938	303	8	-	-	PUNCT
ajase-5938	303	9	scad	scad	NOUN
ajase-5938	303	10	performed	perform	VERB
ajase-5938	303	11	best	well	ADV
ajase-5938	303	12	in	in	ADP
ajase-5938	303	13	highly	highly	ADV
ajase-5938	303	14	sparse	sparse	ADJ
ajase-5938	303	15	,	,	PUNCT
ajase-5938	303	16	low	low	ADJ
ajase-5938	303	17	-	-	PUNCT
ajase-5938	303	18	correlation	correlation	NOUN
ajase-5938	303	19	conditions	condition	NOUN
ajase-5938	303	20	,	,	PUNCT
ajase-5938	303	21	while	while	SCONJ
ajase-5938	303	22	spcr	spcr	ADJ
ajase-5938	303	23	-	-	PUNCT
ajase-5938	303	24	lasso	lasso	ADJ
ajase-5938	303	25	and	and	CCONJ
ajase-5938	303	26	spcr	spcr	ADJ
ajase-5938	303	27	-	-	PUNCT
ajase-5938	303	28	enet	enet	NOUN
ajase-5938	303	29	proved	prove	VERB
ajase-5938	303	30	more	more	ADV
ajase-5938	303	31	adaptable	adaptable	ADJ
ajase-5938	303	32	across	across	ADP
ajase-5938	303	33	both	both	CCONJ
ajase-5938	303	34	sparse	sparse	ADJ
ajase-5938	303	35	and	and	CCONJ
ajase-5938	303	36	dense	dense	ADJ
ajase-5938	303	37	regimes	regime	NOUN
ajase-5938	303	38	.	.	PUNCT
ajase-5938	303	39	table	table	NOUN
ajase-5938	303	40	7	7	NUM
ajase-5938	303	41	:	:	PUNCT
ajase-5938	303	42	overview	overview	NOUN
ajase-5938	303	43	of	of	ADP
ajase-5938	303	44	best	good	ADJ
ajase-5938	303	45	estimators	estimator	NOUN
ajase-5938	303	46	under	under	ADP
ajase-5938	303	47	different	different	ADJ
ajase-5938	303	48	considered	consider	VERB
ajase-5938	303	49	small	small	ADJ
ajase-5938	303	50	sample	sample	NOUN
ajase-5938	303	51	sizes	size	NOUN
ajase-5938	303	52	,	,	PUNCT
ajase-5938	303	53	high	high	ADJ
ajase-5938	303	54	-	-	PUNCT
ajase-5938	303	55	dimensionality	dimensionality	NOUN
ajase-5938	303	56	,	,	PUNCT
ajase-5938	303	57	multicollinearity	multicollinearity	NOUN
ajase-5938	303	58	and	and	CCONJ
ajase-5938	303	59	sparsity	sparsity	NOUN
ajase-5938	303	60	levels	level	NOUN
ajase-5938	304	1	n	n	ADP
ajase-5938	304	2	r	r	NOUN
ajase-5938	304	3	0.1	0.1	NUM
ajase-5938	304	4	0.5	0.5	NUM
ajase-5938	304	5	0.9	0.9	NUM
ajase-5938	304	6	0.1	0.1	NUM
ajase-5938	304	7	0.5	0.5	NUM
ajase-5938	304	8	0.9	0.9	NUM
ajase-5938	304	9	0.1	0.1	NUM
ajase-5938	304	10	0.5	0.5	NUM
ajase-5938	304	11	0.9	0.9	NUM
ajase-5938	304	12	p	p	NOUN
ajase-5938	304	13	50	50	NUM
ajase-5938	304	14	70	70	NUM
ajase-5938	304	15	200	200	NUM
ajase-5938	304	16	30	30	NUM
ajase-5938	304	17	10	10	NUM
ajase-5938	304	18	%	%	NOUN
ajase-5938	304	19	lasso	lasso	NOUN
ajase-5938	304	20	lasso	lasso	NOUN
ajase-5938	304	21	spcrlasso	spcrlasso	NOUN
ajase-5938	305	1	spcrlasso	spcrlasso	PROPN
ajase-5938	305	2	spcrlasso	spcrlasso	PROPN
ajase-5938	305	3	spcrlasso	spcrlasso	PROPN
ajase-5938	305	4	spcrlasso	spcrlasso	PROPN
ajase-5938	305	5	lasso	lasso	NOUN
ajase-5938	305	6	spcrlasso	spcrlasso	VERB
ajase-5938	305	7	30	30	NUM
ajase-5938	305	8	%	%	NOUN
ajase-5938	305	9	lasso	lasso	NOUN
ajase-5938	305	10	lasso	lasso	NOUN
ajase-5938	305	11	spcrlasso	spcrlasso	NOUN
ajase-5938	305	12	spcrlasso	spcrlasso	PROPN
ajase-5938	305	13	spcrlasso	spcrlasso	PROPN
ajase-5938	305	14	spcrlasso	spcrlasso	PROPN
ajase-5938	305	15	spcrlasso	spcrlasso	PROPN
ajase-5938	305	16	enet	enet	PROPN
ajase-5938	305	17	lasso	lasso	PROPN
ajase-5938	305	18	pa	pa	PROPN
ajase-5938	305	19	ge	ge	PROPN
ajase-5938	305	20	13	13	NUM
ajase-5938	305	21	9	9	NUM
ajase-5938	305	22	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5938	305	23	am	am	NOUN
ajase-5938	305	24	.	.	PUNCT
ajase-5938	306	1	j.	j.	PROPN
ajase-5938	306	2	appl	appl	PROPN
ajase-5938	306	3	.	.	PROPN
ajase-5938	307	1	stat	stat	PROPN
ajase-5938	307	2	.	.	PUNCT
ajase-5938	308	1	econ	econ	PROPN
ajase-5938	308	2	.	.	PUNCT
ajase-5938	309	1	4(1	4(1	X
ajase-5938	309	2	)	)	PUNCT
ajase-5938	310	1	127	127	NUM
ajase-5938	310	2	-	-	SYM
ajase-5938	310	3	140	140	NUM
ajase-5938	310	4	,	,	PUNCT
ajase-5938	310	5	2025	2025	NUM
ajase-5938	310	6	70	70	NUM
ajase-5938	310	7	100	100	NUM
ajase-5938	310	8	200	200	NUM
ajase-5938	310	9	50	50	NUM
ajase-5938	310	10	10	10	NUM
ajase-5938	310	11	%	%	NOUN
ajase-5938	310	12	spcrscad	spcrscad	NOUN
ajase-5938	310	13	lasso	lasso	NOUN
ajase-5938	310	14	spcrlasso	spcrlasso	VERB
ajase-5938	310	15	lasso	lasso	NOUN
ajase-5938	310	16	lasso	lasso	NOUN
ajase-5938	310	17	spcrscad	spcrscad	NOUN
ajase-5938	310	18	spcrlasso	spcrlasso	VERB
ajase-5938	310	19	lasso	lasso	NOUN
ajase-5938	310	20	spcrenet	spcrenet	NOUN
ajase-5938	310	21	30	30	NUM
ajase-5938	310	22	%	%	NOUN
ajase-5938	310	23	lasso	lasso	NOUN
ajase-5938	310	24	lasso	lasso	NOUN
ajase-5938	310	25	spcrscad	spcrscad	NOUN
ajase-5938	310	26	lasso	lasso	NOUN
ajase-5938	310	27	lasso	lasso	NOUN
ajase-5938	310	28	spcrscad	spcrscad	NOUN
ajase-5938	310	29	lasso	lasso	NOUN
ajase-5938	310	30	lasso	lasso	NOUN
ajase-5938	310	31	spcrenet	spcrenet	NOUN
ajase-5938	310	32	100	100	NUM
ajase-5938	310	33	150	150	NUM
ajase-5938	310	34	200	200	NUM
ajase-5938	310	35	70	70	NUM
ajase-5938	310	36	10	10	NUM
ajase-5938	310	37	%	%	NOUN
ajase-5938	310	38	lasso	lasso	NOUN
ajase-5938	310	39	enet	enet	NOUN
ajase-5938	310	40	spcrlasso	spcrlasso	PROPN
ajase-5938	310	41	lasso	lasso	NOUN
ajase-5938	310	42	lasso	lasso	NOUN
ajase-5938	310	43	spcrenet	spcrenet	NOUN
ajase-5938	310	44	spcrscad	spcrscad	NOUN
ajase-5938	310	45	spcrscad	spcrscad	NOUN
ajase-5938	310	46	spcrenet	spcrenet	NOUN
ajase-5938	310	47	30	30	NUM
ajase-5938	310	48	%	%	NOUN
ajase-5938	310	49	lasso	lasso	NOUN
ajase-5938	310	50	lasso	lasso	NOUN
ajase-5938	310	51	spcrenet	spcrenet	NOUN
ajase-5938	310	52	lasso	lasso	NOUN
ajase-5938	310	53	lasso	lasso	NOUN
ajase-5938	310	54	spcrlasso	spcrlasso	VERB
ajase-5938	310	55	lasso	lasso	NOUN
ajase-5938	310	56	lasso	lasso	NOUN
ajase-5938	310	57	spcrlasso	spcrlasso	VERB
ajase-5938	310	58	120	120	NUM
ajase-5938	310	59	150	150	NUM
ajase-5938	310	60	200	200	NUM
ajase-5938	310	61	100	100	NUM
ajase-5938	310	62	10	10	NUM
ajase-5938	310	63	%	%	NOUN
ajase-5938	310	64	lasso	lasso	NOUN
ajase-5938	310	65	lasso	lasso	NOUN
ajase-5938	310	66	spcrlasso	spcrlasso	VERB
ajase-5938	310	67	lasso	lasso	NOUN
ajase-5938	310	68	lasso	lasso	NOUN
ajase-5938	310	69	spcrlasso	spcrlasso	VERB
ajase-5938	310	70	lasso	lasso	NOUN
ajase-5938	310	71	lasso	lasso	NOUN
ajase-5938	310	72	spcrlasso	spcrlasso	VERB
ajase-5938	310	73	30	30	NUM
ajase-5938	310	74	%	%	NOUN
ajase-5938	310	75	lasso	lasso	NOUN
ajase-5938	310	76	lasso	lasso	NOUN
ajase-5938	310	77	spcrlasso	spcrlasso	VERB
ajase-5938	310	78	lasso	lasso	NOUN
ajase-5938	310	79	lasso	lasso	NOUN
ajase-5938	310	80	spcrlasso	spcrlasso	VERB
ajase-5938	310	81	lasso	lasso	NOUN
ajase-5938	310	82	lasso	lasso	NOUN
ajase-5938	310	83	spcrlasso	spcrlasso	PROPN
ajase-5938	310	84	source	source	NOUN
ajase-5938	310	85	:	:	PUNCT
ajase-5938	310	86	researchers	researcher	NOUN
ajase-5938	310	87	’	'	PUNCT
ajase-5938	310	88	compilations	compilation	VERB
ajase-5938	310	89	discussion	discussion	NOUN
ajase-5938	310	90	of	of	ADP
ajase-5938	310	91	findings	finding	NOUN
ajase-5938	310	92	theoretical	theoretical	ADJ
ajase-5938	310	93	and	and	CCONJ
ajase-5938	310	94	methodological	methodological	ADJ
ajase-5938	310	95	insights	insight	NOUN
ajase-5938	310	96	the	the	DET
ajase-5938	310	97	results	result	NOUN
ajase-5938	310	98	validate	validate	VERB
ajase-5938	310	99	the	the	DET
ajase-5938	310	100	rationale	rationale	NOUN
ajase-5938	310	101	for	for	ADP
ajase-5938	310	102	hybridizing	hybridize	VERB
ajase-5938	310	103	spcr	spcr	ADJ
ajase-5938	310	104	with	with	ADP
ajase-5938	310	105	regularization	regularization	NOUN
ajase-5938	310	106	penalties	penalty	NOUN
ajase-5938	310	107	.	.	PUNCT
ajase-5938	311	1	spcr	spcr	ADJ
ajase-5938	311	2	effectively	effectively	ADV
ajase-5938	311	3	reduces	reduce	VERB
ajase-5938	311	4	dimensionality	dimensionality	NOUN
ajase-5938	311	5	while	while	SCONJ
ajase-5938	311	6	preserving	preserve	VERB
ajase-5938	311	7	predictive	predictive	ADJ
ajase-5938	311	8	features	feature	NOUN
ajase-5938	311	9	,	,	PUNCT
ajase-5938	311	10	and	and	CCONJ
ajase-5938	311	11	the	the	DET
ajase-5938	311	12	addition	addition	NOUN
ajase-5938	311	13	of	of	ADP
ajase-5938	311	14	regularization	regularization	NOUN
ajase-5938	311	15	stabilizes	stabilize	VERB
ajase-5938	311	16	estimates	estimate	NOUN
ajase-5938	311	17	in	in	ADP
ajase-5938	311	18	the	the	DET
ajase-5938	311	19	presence	presence	NOUN
ajase-5938	311	20	of	of	ADP
ajase-5938	311	21	multicollinearity	multicollinearity	NOUN
ajase-5938	311	22	.	.	PUNCT
ajase-5938	312	1	together	together	ADV
ajase-5938	312	2	,	,	PUNCT
ajase-5938	312	3	this	this	DET
ajase-5938	312	4	hybrid	hybrid	ADJ
ajase-5938	312	5	approach	approach	NOUN
ajase-5938	312	6	delivers	deliver	VERB
ajase-5938	312	7	stronger	strong	ADJ
ajase-5938	312	8	predictive	predictive	ADJ
ajase-5938	312	9	accuracy	accuracy	NOUN
ajase-5938	312	10	and	and	CCONJ
ajase-5938	312	11	interpretability	interpretability	NOUN
ajase-5938	312	12	than	than	ADP
ajase-5938	312	13	either	either	CCONJ
ajase-5938	312	14	dimension	dimension	NOUN
ajase-5938	312	15	reduction	reduction	NOUN
ajase-5938	312	16	or	or	CCONJ
ajase-5938	312	17	regularization	regularization	NOUN
ajase-5938	312	18	alone	alone	ADV
ajase-5938	312	19	.	.	PUNCT
ajase-5938	313	1	the	the	DET
ajase-5938	313	2	study	study	NOUN
ajase-5938	313	3	also	also	ADV
ajase-5938	313	4	demonstrates	demonstrate	VERB
ajase-5938	313	5	that	that	SCONJ
ajase-5938	313	6	penalty	penalty	NOUN
ajase-5938	313	7	choice	choice	NOUN
ajase-5938	313	8	must	must	AUX
ajase-5938	313	9	be	be	AUX
ajase-5938	313	10	data	datum	NOUN
ajase-5938	313	11	-	-	PUNCT
ajase-5938	313	12	dependent	dependent	ADJ
ajase-5938	313	13	.	.	PUNCT
ajase-5938	314	1	specifically	specifically	ADV
ajase-5938	314	2	:	:	PUNCT
ajase-5938	314	3	•	•	ADP
ajase-5938	314	4	spcr	spcr	ADJ
ajase-5938	314	5	-	-	PUNCT
ajase-5938	314	6	lasso	lasso	ADJ
ajase-5938	314	7	and	and	CCONJ
ajase-5938	314	8	spcr	spcr	ADJ
ajase-5938	314	9	-	-	PUNCT
ajase-5938	314	10	enet	enet	NOUN
ajase-5938	314	11	are	be	AUX
ajase-5938	314	12	best	well	ADV
ajase-5938	314	13	suited	suit	VERB
ajase-5938	314	14	for	for	ADP
ajase-5938	314	15	highdimensional	highdimensional	NOUN
ajase-5938	314	16	,	,	PUNCT
ajase-5938	314	17	correlated	correlate	VERB
ajase-5938	314	18	designs	design	NOUN
ajase-5938	314	19	.	.	PUNCT
ajase-5938	315	1	•	•	NUM
ajase-5938	315	2	spcr	spcr	ADJ
ajase-5938	315	3	-	-	PUNCT
ajase-5938	315	4	scad	scad	NOUN
ajase-5938	315	5	retains	retain	VERB
ajase-5938	315	6	value	value	NOUN
ajase-5938	315	7	under	under	ADP
ajase-5938	315	8	extreme	extreme	ADJ
ajase-5938	315	9	sparsity	sparsity	NOUN
ajase-5938	315	10	with	with	ADP
ajase-5938	315	11	low	low	ADJ
ajase-5938	315	12	correlation	correlation	NOUN
ajase-5938	315	13	.	.	PUNCT
ajase-5938	316	1	•	•	NUM
ajase-5938	316	2	spcr	spcr	ADJ
ajase-5938	316	3	-	-	PUNCT
ajase-5938	316	4	ridge	ridge	NOUN
ajase-5938	316	5	,	,	PUNCT
ajase-5938	316	6	while	while	SCONJ
ajase-5938	316	7	stabilizing	stabilize	VERB
ajase-5938	316	8	,	,	PUNCT
ajase-5938	316	9	offers	offer	VERB
ajase-5938	316	10	limited	limited	ADJ
ajase-5938	316	11	benefits	benefit	NOUN
ajase-5938	316	12	compared	compare	VERB
ajase-5938	316	13	to	to	ADP
ajase-5938	316	14	its	its	PRON
ajase-5938	316	15	sparse	sparse	ADJ
ajase-5938	316	16	counterparts	counterpart	NOUN
ajase-5938	316	17	.	.	PUNCT
ajase-5938	317	1	these	these	DET
ajase-5938	317	2	findings	finding	NOUN
ajase-5938	317	3	align	align	VERB
ajase-5938	317	4	with	with	ADP
ajase-5938	317	5	empirical	empirical	ADJ
ajase-5938	317	6	evidence	evidence	NOUN
ajase-5938	317	7	in	in	ADP
ajase-5938	317	8	highdimensional	highdimensional	ADJ
ajase-5938	317	9	statistics	statistic	NOUN
ajase-5938	317	10	but	but	CCONJ
ajase-5938	317	11	extend	extend	VERB
ajase-5938	317	12	prior	prior	ADJ
ajase-5938	317	13	work	work	NOUN
ajase-5938	317	14	by	by	ADP
ajase-5938	317	15	systematically	systematically	ADV
ajase-5938	317	16	comparing	compare	VERB
ajase-5938	317	17	multiple	multiple	ADJ
ajase-5938	317	18	regularizers	regularizer	NOUN
ajase-5938	317	19	within	within	ADP
ajase-5938	317	20	an	an	DET
ajase-5938	317	21	spcr	spcr	ADJ
ajase-5938	317	22	framework	framework	NOUN
ajase-5938	317	23	across	across	ADP
ajase-5938	317	24	diverse	diverse	ADJ
ajase-5938	317	25	simulation	simulation	NOUN
ajase-5938	317	26	conditions	condition	NOUN
ajase-5938	317	27	.	.	PUNCT
ajase-5938	318	1	practical	practical	ADJ
ajase-5938	318	2	implications	implication	NOUN
ajase-5938	318	3	for	for	ADP
ajase-5938	318	4	applied	applied	ADJ
ajase-5938	318	5	research	research	NOUN
ajase-5938	318	6	for	for	ADP
ajase-5938	318	7	applied	applied	ADJ
ajase-5938	318	8	researchers	researcher	NOUN
ajase-5938	318	9	working	work	VERB
ajase-5938	318	10	in	in	ADP
ajase-5938	318	11	genomics	genomics	NOUN
ajase-5938	318	12	,	,	PUNCT
ajase-5938	318	13	finance	finance	NOUN
ajase-5938	318	14	,	,	PUNCT
ajase-5938	318	15	climate	climate	NOUN
ajase-5938	318	16	science	science	NOUN
ajase-5938	318	17	,	,	PUNCT
ajase-5938	318	18	and	and	CCONJ
ajase-5938	318	19	social	social	ADJ
ajase-5938	318	20	sciences	science	NOUN
ajase-5938	318	21	,	,	PUNCT
ajase-5938	318	22	the	the	DET
ajase-5938	318	23	study	study	NOUN
ajase-5938	318	24	’s	’s	PART
ajase-5938	318	25	findings	finding	NOUN
ajase-5938	318	26	provide	provide	VERB
ajase-5938	318	27	clear	clear	ADJ
ajase-5938	318	28	practical	practical	ADJ
ajase-5938	318	29	guidance	guidance	NOUN
ajase-5938	318	30	:	:	PUNCT
ajase-5938	318	31	•	•	NOUN
ajase-5938	318	32	use	use	VERB
ajase-5938	318	33	spcr	spcr	ADJ
ajase-5938	318	34	-	-	PUNCT
ajase-5938	318	35	lasso	lasso	NOUN
ajase-5938	318	36	or	or	CCONJ
ajase-5938	318	37	spcr	spcr	ADJ
ajase-5938	318	38	-	-	PUNCT
ajase-5938	318	39	enet	enet	NOUN
ajase-5938	318	40	when	when	SCONJ
ajase-5938	318	41	predictors	predictor	NOUN
ajase-5938	318	42	are	be	AUX
ajase-5938	318	43	highly	highly	ADV
ajase-5938	318	44	correlated	correlate	VERB
ajase-5938	318	45	or	or	CCONJ
ajase-5938	318	46	dimensionality	dimensionality	NOUN
ajase-5938	318	47	is	be	AUX
ajase-5938	318	48	large	large	ADJ
ajase-5938	318	49	.	.	PUNCT
ajase-5938	319	1	•	•	NUM
ajase-5938	319	2	employ	employ	VERB
ajase-5938	319	3	spcr	spcr	ADJ
ajase-5938	319	4	-	-	PUNCT
ajase-5938	319	5	scad	scad	NOUN
ajase-5938	319	6	in	in	ADP
ajase-5938	319	7	cases	case	NOUN
ajase-5938	319	8	of	of	ADP
ajase-5938	319	9	extreme	extreme	ADJ
ajase-5938	319	10	sparsity	sparsity	NOUN
ajase-5938	319	11	with	with	ADP
ajase-5938	319	12	weak	weak	ADJ
ajase-5938	319	13	predictor	predictor	NOUN
ajase-5938	319	14	correlation	correlation	NOUN
ajase-5938	319	15	.	.	PUNCT
ajase-5938	320	1	•	•	NUM
ajase-5938	320	2	expect	expect	VERB
ajase-5938	320	3	interpretability	interpretability	NOUN
ajase-5938	320	4	benefits	benefit	NOUN
ajase-5938	320	5	from	from	ADP
ajase-5938	320	6	spcr	spcr	ADJ
ajase-5938	320	7	,	,	PUNCT
ajase-5938	320	8	as	as	SCONJ
ajase-5938	320	9	sparse	sparse	ADJ
ajase-5938	320	10	principal	principal	ADJ
ajase-5938	320	11	components	component	NOUN
ajase-5938	320	12	link	link	VERB
ajase-5938	320	13	outcomes	outcome	NOUN
ajase-5938	320	14	to	to	ADP
ajase-5938	320	15	identifiable	identifiable	ADJ
ajase-5938	320	16	subsets	subset	NOUN
ajase-5938	320	17	of	of	ADP
ajase-5938	320	18	predictors	predictor	NOUN
ajase-5938	320	19	rather	rather	ADV
ajase-5938	320	20	than	than	ADP
ajase-5938	320	21	opaque	opaque	ADJ
ajase-5938	320	22	linear	linear	ADJ
ajase-5938	320	23	combinations	combination	NOUN
ajase-5938	320	24	.	.	PUNCT
ajase-5938	321	1	this	this	DET
ajase-5938	321	2	guidance	guidance	NOUN
ajase-5938	321	3	equips	equip	VERB
ajase-5938	321	4	researchers	researcher	NOUN
ajase-5938	321	5	with	with	ADP
ajase-5938	321	6	a	a	DET
ajase-5938	321	7	decision	decision	NOUN
ajase-5938	321	8	-	-	PUNCT
ajase-5938	321	9	making	make	VERB
ajase-5938	321	10	framework	framework	NOUN
ajase-5938	321	11	to	to	PART
ajase-5938	321	12	select	select	VERB
ajase-5938	321	13	the	the	DET
ajase-5938	321	14	most	most	ADV
ajase-5938	321	15	effective	effective	ADJ
ajase-5938	321	16	hybrid	hybrid	ADJ
ajase-5938	321	17	estimator	estimator	NOUN
ajase-5938	321	18	given	give	VERB
ajase-5938	321	19	the	the	DET
ajase-5938	321	20	structural	structural	ADJ
ajase-5938	321	21	characteristics	characteristic	NOUN
ajase-5938	321	22	of	of	ADP
ajase-5938	321	23	their	their	PRON
ajase-5938	321	24	data	datum	NOUN
ajase-5938	321	25	.	.	PUNCT
ajase-5938	322	1	policy	policy	NOUN
ajase-5938	322	2	and	and	CCONJ
ajase-5938	322	3	applied	apply	VERB
ajase-5938	322	4	modeling	modeling	NOUN
ajase-5938	322	5	implications	implication	NOUN
ajase-5938	322	6	the	the	DET
ajase-5938	322	7	findings	finding	NOUN
ajase-5938	322	8	also	also	ADV
ajase-5938	322	9	have	have	VERB
ajase-5938	322	10	implications	implication	NOUN
ajase-5938	322	11	for	for	ADP
ajase-5938	322	12	applied	apply	VERB
ajase-5938	322	13	modeling	modeling	NOUN
ajase-5938	322	14	in	in	ADP
ajase-5938	322	15	policy	policy	NOUN
ajase-5938	322	16	-	-	PUNCT
ajase-5938	322	17	relevant	relevant	ADJ
ajase-5938	322	18	domains	domain	NOUN
ajase-5938	322	19	.	.	PUNCT
ajase-5938	323	1	policymakers	policymaker	NOUN
ajase-5938	323	2	and	and	CCONJ
ajase-5938	323	3	analysts	analyst	NOUN
ajase-5938	323	4	working	work	VERB
ajase-5938	323	5	with	with	ADP
ajase-5938	323	6	high	high	ADV
ajase-5938	323	7	-	-	PUNCT
ajase-5938	323	8	dimensional	dimensional	ADJ
ajase-5938	323	9	,	,	PUNCT
ajase-5938	323	10	multicollinear	multicollinear	ADJ
ajase-5938	323	11	data	datum	NOUN
ajase-5938	323	12	(	(	PUNCT
ajase-5938	323	13	e.g.	e.g.	ADV
ajase-5938	323	14	,	,	PUNCT
ajase-5938	323	15	in	in	ADP
ajase-5938	323	16	economic	economic	ADJ
ajase-5938	323	17	forecasting	forecasting	NOUN
ajase-5938	323	18	,	,	PUNCT
ajase-5938	323	19	climate	climate	NOUN
ajase-5938	323	20	modeling	modeling	NOUN
ajase-5938	323	21	,	,	PUNCT
ajase-5938	323	22	or	or	CCONJ
ajase-5938	323	23	epidemiological	epidemiological	ADJ
ajase-5938	323	24	surveillance	surveillance	NOUN
ajase-5938	323	25	)	)	PUNCT
ajase-5938	323	26	can	can	AUX
ajase-5938	323	27	adopt	adopt	VERB
ajase-5938	323	28	spcr	spcr	ADJ
ajase-5938	323	29	-	-	PUNCT
ajase-5938	323	30	based	base	VERB
ajase-5938	323	31	methods	method	NOUN
ajase-5938	323	32	to	to	PART
ajase-5938	323	33	achieve	achieve	VERB
ajase-5938	323	34	more	more	ADV
ajase-5938	323	35	reliable	reliable	ADJ
ajase-5938	323	36	predictions	prediction	NOUN
ajase-5938	323	37	.	.	PUNCT
ajase-5938	324	1	by	by	ADP
ajase-5938	324	2	improving	improve	VERB
ajase-5938	324	3	both	both	DET
ajase-5938	324	4	accuracy	accuracy	NOUN
ajase-5938	324	5	and	and	CCONJ
ajase-5938	324	6	interpretability	interpretability	NOUN
ajase-5938	324	7	,	,	PUNCT
ajase-5938	324	8	these	these	DET
ajase-5938	324	9	methods	method	NOUN
ajase-5938	324	10	enhance	enhance	VERB
ajase-5938	324	11	the	the	DET
ajase-5938	324	12	credibility	credibility	NOUN
ajase-5938	324	13	of	of	ADP
ajase-5938	324	14	evidence	evidence	NOUN
ajase-5938	324	15	-	-	PUNCT
ajase-5938	324	16	based	base	VERB
ajase-5938	324	17	policy	policy	NOUN
ajase-5938	324	18	decisions	decision	NOUN
ajase-5938	324	19	.	.	PUNCT
ajase-5938	325	1	implications	implication	NOUN
ajase-5938	325	2	for	for	ADP
ajase-5938	325	3	future	future	ADJ
ajase-5938	325	4	research	research	NOUN
ajase-5938	325	5	the	the	DET
ajase-5938	325	6	findings	finding	NOUN
ajase-5938	325	7	suggest	suggest	VERB
ajase-5938	325	8	several	several	ADJ
ajase-5938	325	9	avenues	avenue	NOUN
ajase-5938	325	10	for	for	ADP
ajase-5938	325	11	further	further	ADJ
ajase-5938	325	12	inquiry	inquiry	NOUN
ajase-5938	325	13	:	:	PUNCT
ajase-5938	325	14	i.	i.	NOUN
ajase-5938	325	15	extending	extend	VERB
ajase-5938	325	16	the	the	DET
ajase-5938	325	17	hybrid	hybrid	ADJ
ajase-5938	325	18	spcr	spcr	ADJ
ajase-5938	325	19	framework	framework	NOUN
ajase-5938	325	20	to	to	ADP
ajase-5938	325	21	nonlinear	nonlinear	ADJ
ajase-5938	325	22	models	model	NOUN
ajase-5938	325	23	(	(	PUNCT
ajase-5938	325	24	e.g.	e.g.	ADV
ajase-5938	325	25	,	,	PUNCT
ajase-5938	325	26	kernel	kernel	PROPN
ajase-5938	325	27	methods	method	NOUN
ajase-5938	325	28	,	,	PUNCT
ajase-5938	325	29	deep	deep	ADJ
ajase-5938	325	30	learning	learning	NOUN
ajase-5938	325	31	)	)	PUNCT
ajase-5938	325	32	.	.	PUNCT
ajase-5938	326	1	ii	ii	PROPN
ajase-5938	326	2	.	.	PUNCT
ajase-5938	327	1	applying	apply	VERB
ajase-5938	327	2	spcr	spcr	ADJ
ajase-5938	327	3	-	-	PUNCT
ajase-5938	327	4	regularization	regularization	NOUN
ajase-5938	327	5	pipelines	pipeline	NOUN
ajase-5938	327	6	to	to	ADP
ajase-5938	327	7	realworld	realworld	PROPN
ajase-5938	327	8	datasets	dataset	NOUN
ajase-5938	327	9	in	in	ADP
ajase-5938	327	10	genomics	genomics	NOUN
ajase-5938	327	11	,	,	PUNCT
ajase-5938	327	12	finance	finance	NOUN
ajase-5938	327	13	,	,	PUNCT
ajase-5938	327	14	and	and	CCONJ
ajase-5938	327	15	environmental	environmental	ADJ
ajase-5938	327	16	science	science	NOUN
ajase-5938	327	17	to	to	PART
ajase-5938	327	18	validate	validate	VERB
ajase-5938	327	19	simulation	simulation	NOUN
ajase-5938	327	20	results	result	NOUN
ajase-5938	327	21	.	.	PUNCT
ajase-5938	328	1	iii	iii	X
ajase-5938	328	2	.	.	PUNCT
ajase-5938	329	1	investigating	investigate	VERB
ajase-5938	329	2	stability	stability	NOUN
ajase-5938	329	3	selection	selection	NOUN
ajase-5938	329	4	and	and	CCONJ
ajase-5938	329	5	uncertainty	uncertainty	NOUN
ajase-5938	329	6	quantification	quantification	NOUN
ajase-5938	329	7	after	after	ADP
ajase-5938	329	8	spcr	spcr	ADJ
ajase-5938	329	9	to	to	PART
ajase-5938	329	10	improve	improve	VERB
ajase-5938	329	11	robustness	robustness	NOUN
ajase-5938	329	12	of	of	ADP
ajase-5938	329	13	variable	variable	ADJ
ajase-5938	329	14	selection	selection	NOUN
ajase-5938	329	15	in	in	ADP
ajase-5938	329	16	practice	practice	NOUN
ajase-5938	329	17	.	.	PUNCT
ajase-5938	330	1	iv	iv	X
ajase-5938	330	2	.	.	PUNCT
ajase-5938	330	3	exploring	explore	VERB
ajase-5938	330	4	time	time	NOUN
ajase-5938	330	5	-	-	PUNCT
ajase-5938	330	6	series	series	NOUN
ajase-5938	330	7	extensions	extension	NOUN
ajase-5938	330	8	of	of	ADP
ajase-5938	330	9	spcr	spcr	ADJ
ajase-5938	330	10	hybridization	hybridization	NOUN
ajase-5938	330	11	for	for	ADP
ajase-5938	330	12	forecasting	forecasting	NOUN
ajase-5938	330	13	applications	application	NOUN
ajase-5938	330	14	.	.	PUNCT
ajase-5938	331	1	conclusion	conclusion	NOUN
ajase-5938	331	2	this	this	DET
ajase-5938	331	3	section	section	NOUN
ajase-5938	331	4	has	have	AUX
ajase-5938	331	5	discussed	discuss	VERB
ajase-5938	331	6	the	the	DET
ajase-5938	331	7	findings	finding	NOUN
ajase-5938	331	8	of	of	ADP
ajase-5938	331	9	the	the	DET
ajase-5938	331	10	simulation	simulation	NOUN
ajase-5938	331	11	study	study	NOUN
ajase-5938	331	12	and	and	CCONJ
ajase-5938	331	13	their	their	PRON
ajase-5938	331	14	implications	implication	NOUN
ajase-5938	331	15	for	for	ADP
ajase-5938	331	16	statistical	statistical	ADJ
ajase-5938	331	17	methodology	methodology	NOUN
ajase-5938	331	18	,	,	PUNCT
ajase-5938	331	19	applied	apply	VERB
ajase-5938	331	20	practice	practice	NOUN
ajase-5938	331	21	,	,	PUNCT
ajase-5938	331	22	and	and	CCONJ
ajase-5938	331	23	policy	policy	NOUN
ajase-5938	331	24	.	.	PUNCT
ajase-5938	332	1	the	the	DET
ajase-5938	332	2	results	result	NOUN
ajase-5938	332	3	confirm	confirm	VERB
ajase-5938	332	4	that	that	SCONJ
ajase-5938	332	5	hybrid	hybrid	ADJ
ajase-5938	332	6	spcr	spcr	ADJ
ajase-5938	332	7	estimators	estimator	NOUN
ajase-5938	332	8	substantially	substantially	ADV
ajase-5938	332	9	outperform	outperform	VERB
ajase-5938	332	10	traditional	traditional	ADJ
ajase-5938	332	11	penalization	penalization	NOUN
ajase-5938	332	12	methods	method	NOUN
ajase-5938	332	13	in	in	ADP
ajase-5938	332	14	small	small	ADJ
ajase-5938	332	15	-	-	PUNCT
ajase-5938	332	16	sample	sample	NOUN
ajase-5938	332	17	,	,	PUNCT
ajase-5938	332	18	high	high	ADJ
ajase-5938	332	19	-	-	PUNCT
ajase-5938	332	20	dimensional	dimensional	ADJ
ajase-5938	332	21	,	,	PUNCT
ajase-5938	332	22	and	and	CCONJ
ajase-5938	332	23	multicollinear	multicollinear	ADJ
ajase-5938	332	24	conditions	condition	NOUN
ajase-5938	332	25	.	.	PUNCT
ajase-5938	333	1	among	among	ADP
ajase-5938	333	2	these	these	PRON
ajase-5938	333	3	,	,	PUNCT
ajase-5938	333	4	spcrlasso	spcrlasso	ADJ
ajase-5938	333	5	and	and	CCONJ
ajase-5938	333	6	spcr	spcr	ADJ
ajase-5938	333	7	-	-	PUNCT
ajase-5938	333	8	enet	enet	NOUN
ajase-5938	333	9	emerge	emerge	NOUN
ajase-5938	333	10	as	as	ADP
ajase-5938	333	11	the	the	DET
ajase-5938	333	12	most	most	ADV
ajase-5938	333	13	versatile	versatile	ADJ
ajase-5938	333	14	and	and	CCONJ
ajase-5938	333	15	reliable	reliable	ADJ
ajase-5938	333	16	,	,	PUNCT
ajase-5938	333	17	while	while	SCONJ
ajase-5938	333	18	spcr	spcr	ADJ
ajase-5938	333	19	-	-	PUNCT
ajase-5938	333	20	scad	scad	NOUN
ajase-5938	333	21	shows	show	VERB
ajase-5938	333	22	targeted	target	VERB
ajase-5938	333	23	advantages	advantage	NOUN
ajase-5938	333	24	in	in	ADP
ajase-5938	333	25	sparse	sparse	ADJ
ajase-5938	333	26	,	,	PUNCT
ajase-5938	333	27	low	low	ADJ
ajase-5938	333	28	-	-	PUNCT
ajase-5938	333	29	correlation	correlation	NOUN
ajase-5938	333	30	settings	setting	NOUN
ajase-5938	333	31	.	.	PUNCT
ajase-5938	334	1	collectively	collectively	ADV
ajase-5938	334	2	,	,	PUNCT
ajase-5938	334	3	the	the	DET
ajase-5938	334	4	findings	finding	NOUN
ajase-5938	334	5	highlight	highlight	VERB
ajase-5938	334	6	the	the	DET
ajase-5938	334	7	significance	significance	NOUN
ajase-5938	334	8	and	and	CCONJ
ajase-5938	334	9	necessity	necessity	NOUN
ajase-5938	334	10	of	of	ADP
ajase-5938	334	11	hybrid	hybrid	ADJ
ajase-5938	334	12	spcr	spcr	ADJ
ajase-5938	334	13	approaches	approach	NOUN
ajase-5938	334	14	as	as	ADP
ajase-5938	334	15	a	a	DET
ajase-5938	334	16	methodological	methodological	ADJ
ajase-5938	334	17	advancement	advancement	NOUN
ajase-5938	334	18	for	for	ADP
ajase-5938	334	19	highdimensional	highdimensional	ADJ
ajase-5938	334	20	data	datum	NOUN
ajase-5938	334	21	analysis	analysis	NOUN
ajase-5938	334	22	.	.	PUNCT
ajase-5938	335	1	references	reference	NOUN
ajase-5938	335	2	ali	ali	PROPN
ajase-5938	335	3	,	,	PUNCT
ajase-5938	335	4	h.	h.	PROPN
ajase-5938	335	5	,	,	PUNCT
ajase-5938	335	6	shahzad	shahzad	PROPN
ajase-5938	335	7	,	,	PUNCT
ajase-5938	335	8	m.	m.	NOUN
ajase-5938	335	9	,	,	PUNCT
ajase-5938	335	10	sarfraz	sarfraz	PROPN
ajase-5938	335	11	,	,	PUNCT
ajase-5938	335	12	s.	s.	PROPN
ajase-5938	335	13	,	,	PUNCT
ajase-5938	335	14	sewell	sewell	PROPN
ajase-5938	335	15	,	,	PUNCT
ajase-5938	335	16	k.	k.	PROPN
ajase-5938	335	17	b.	b.	PROPN
ajase-5938	335	18	,	,	PUNCT
ajase-5938	335	19	alqalyoobi	alqalyoobi	PROPN
ajase-5938	335	20	,	,	PUNCT
ajase-5938	335	21	s.	s.	PROPN
ajase-5938	335	22	,	,	PUNCT
ajase-5938	335	23	&	&	CCONJ
ajase-5938	335	24	mohan	mohan	PROPN
ajase-5938	335	25	,	,	PUNCT
ajase-5938	335	26	b.	b.	PROPN
ajase-5938	336	1	p.	p.	PROPN
ajase-5938	336	2	(	(	PUNCT
ajase-5938	336	3	2023	2023	NUM
ajase-5938	336	4	)	)	PUNCT
ajase-5938	336	5	.	.	PUNCT
ajase-5938	337	1	application	application	NOUN
ajase-5938	337	2	and	and	CCONJ
ajase-5938	337	3	impact	impact	NOUN
ajase-5938	337	4	of	of	ADP
ajase-5938	337	5	lasso	lasso	ADJ
ajase-5938	337	6	regression	regression	NOUN
ajase-5938	337	7	in	in	ADP
ajase-5938	337	8	gastroenterology	gastroenterology	NOUN
ajase-5938	337	9	:	:	PUNCT
ajase-5938	337	10	a	a	DET
ajase-5938	337	11	systematic	systematic	ADJ
ajase-5938	337	12	pa	pa	PROPN
ajase-5938	337	13	ge	ge	PROPN
ajase-5938	337	14	14	14	NUM
ajase-5938	337	15	0	0	NUM
ajase-5938	338	1	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5938	338	2	am	am	NOUN
ajase-5938	338	3	.	.	PUNCT
ajase-5938	339	1	j.	j.	PROPN
ajase-5938	339	2	appl	appl	PROPN
ajase-5938	339	3	.	.	PROPN
ajase-5938	340	1	stat	stat	PROPN
ajase-5938	340	2	.	.	PUNCT
ajase-5938	341	1	econ	econ	PROPN
ajase-5938	341	2	.	.	PUNCT
ajase-5938	342	1	4(1	4(1	X
ajase-5938	342	2	)	)	PUNCT
ajase-5938	343	1	127	127	NUM
ajase-5938	343	2	-	-	SYM
ajase-5938	343	3	140	140	NUM
ajase-5938	343	4	,	,	PUNCT
ajase-5938	343	5	2025	2025	NUM
ajase-5938	343	6	review	review	NOUN
ajase-5938	343	7	.	.	PUNCT
ajase-5938	344	1	indian	indian	PROPN
ajase-5938	344	2	journal	journal	PROPN
ajase-5938	344	3	of	of	ADP
ajase-5938	344	4	gastroenterology	gastroenterology	NOUN
ajase-5938	344	5	,	,	PUNCT
ajase-5938	344	6	42(6	42(6	NOUN
ajase-5938	344	7	)	)	PUNCT
ajase-5938	344	8	,	,	PUNCT
ajase-5938	344	9	780	780	NUM
ajase-5938	344	10	-	-	SYM
ajase-5938	344	11	790	790	NUM
ajase-5938	344	12	.	.	PUNCT
ajase-5938	345	1	chatterjee	chatterjee	PROPN
ajase-5938	345	2	,	,	PUNCT
ajase-5938	345	3	i.	i.	PROPN
ajase-5938	345	4	,	,	PUNCT
ajase-5938	345	5	&	&	CCONJ
ajase-5938	345	6	baumgärtner	baumgärtner	NOUN
ajase-5938	345	7	,	,	PUNCT
ajase-5938	345	8	l.	l.	PROPN
ajase-5938	345	9	(	(	PUNCT
ajase-5938	345	10	2024	2024	NUM
ajase-5938	345	11	)	)	PUNCT
ajase-5938	345	12	.	.	PUNCT
ajase-5938	346	1	unveiling	unveil	VERB
ajase-5938	346	2	functional	functional	ADJ
ajase-5938	346	3	biomarkers	biomarker	NOUN
ajase-5938	346	4	in	in	ADP
ajase-5938	346	5	schizophrenia	schizophrenia	NOUN
ajase-5938	346	6	:	:	PUNCT
ajase-5938	346	7	insights	insight	NOUN
ajase-5938	346	8	from	from	ADP
ajase-5938	346	9	region	region	NOUN
ajase-5938	346	10	of	of	ADP
ajase-5938	346	11	interest	interest	NOUN
ajase-5938	346	12	analysis	analysis	NOUN
ajase-5938	346	13	using	use	VERB
ajase-5938	346	14	machine	machine	NOUN
ajase-5938	346	15	learning	learning	NOUN
ajase-5938	346	16	.	.	PUNCT
ajase-5938	347	1	journal	journal	PROPN
ajase-5938	347	2	of	of	ADP
ajase-5938	347	3	integrative	integrative	ADJ
ajase-5938	347	4	neuroscience	neuroscience	NOUN
ajase-5938	347	5	,	,	PUNCT
ajase-5938	347	6	23(9	23(9	NUM
ajase-5938	347	7	)	)	PUNCT
ajase-5938	347	8	.	.	PUNCT
ajase-5938	348	1	chen	chen	PROPN
ajase-5938	348	2	,	,	PUNCT
ajase-5938	348	3	j.	j.	PROPN
ajase-5938	348	4	,	,	PUNCT
ajase-5938	348	5	yang	yang	PROPN
ajase-5938	348	6	,	,	PUNCT
ajase-5938	348	7	s.	s.	PROPN
ajase-5938	348	8	,	,	PUNCT
ajase-5938	348	9	wang	wang	PROPN
ajase-5938	348	10	,	,	PUNCT
ajase-5938	348	11	z.	z.	PROPN
ajase-5938	348	12	,	,	PUNCT
ajase-5938	348	13	&	&	CCONJ
ajase-5938	348	14	mao	mao	PROPN
ajase-5938	348	15	,	,	PUNCT
ajase-5938	348	16	h.	h.	PROPN
ajase-5938	348	17	(	(	PUNCT
ajase-5938	348	18	2021	2021	NUM
ajase-5938	348	19	)	)	PUNCT
ajase-5938	348	20	.	.	PUNCT
ajase-5938	349	1	efficient	efficient	ADJ
ajase-5938	349	2	sparse	sparse	ADJ
ajase-5938	349	3	representation	representation	NOUN
ajase-5938	349	4	for	for	ADP
ajase-5938	349	5	learning	learn	VERB
ajase-5938	349	6	with	with	ADP
ajase-5938	349	7	high	high	ADJ
ajase-5938	349	8	-	-	PUNCT
ajase-5938	349	9	dimensional	dimensional	ADJ
ajase-5938	349	10	data	datum	NOUN
ajase-5938	349	11	.	.	PUNCT
ajase-5938	350	1	ieee	ieee	NOUN
ajase-5938	350	2	transactions	transaction	NOUN
ajase-5938	350	3	on	on	ADP
ajase-5938	350	4	neural	neural	ADJ
ajase-5938	350	5	networks	network	NOUN
ajase-5938	350	6	and	and	CCONJ
ajase-5938	350	7	learning	learning	NOUN
ajase-5938	350	8	systems	system	NOUN
ajase-5938	350	9	,	,	PUNCT
ajase-5938	350	10	34(8	34(8	NUM
ajase-5938	350	11	)	)	PUNCT
ajase-5938	350	12	,	,	PUNCT
ajase-5938	350	13	4208	4208	NUM
ajase-5938	350	14	-	-	SYM
ajase-5938	350	15	4222	4222	NUM
ajase-5938	350	16	.	.	PUNCT
ajase-5938	351	1	cleophas	cleophas	ADJ
ajase-5938	351	2	,	,	PUNCT
ajase-5938	351	3	t.	t.	PROPN
ajase-5938	351	4	j.	j.	PROPN
ajase-5938	351	5	,	,	PUNCT
ajase-5938	351	6	&	&	CCONJ
ajase-5938	351	7	zwinderman	zwinderman	PROPN
ajase-5938	351	8	,	,	PUNCT
ajase-5938	351	9	a.	a.	NOUN
ajase-5938	351	10	h.	h.	PROPN
ajase-5938	351	11	(	(	PUNCT
ajase-5938	351	12	2024	2024	NUM
ajase-5938	351	13	)	)	PUNCT
ajase-5938	351	14	.	.	PUNCT
ajase-5938	352	1	application	application	NOUN
ajase-5938	352	2	of	of	ADP
ajase-5938	352	3	regularized	regularize	VERB
ajase-5938	352	4	regressions	regression	NOUN
ajase-5938	352	5	to	to	PART
ajase-5938	352	6	identify	identify	VERB
ajase-5938	352	7	novel	novel	ADJ
ajase-5938	352	8	predictors	predictor	NOUN
ajase-5938	352	9	in	in	ADP
ajase-5938	352	10	clinical	clinical	ADJ
ajase-5938	352	11	research	research	NOUN
ajase-5938	352	12	.	.	PUNCT
ajase-5938	353	1	springer	springer	NOUN
ajase-5938	353	2	nature	nature	PROPN
ajase-5938	353	3	.	.	PUNCT
ajase-5938	354	1	fan	fan	PROPN
ajase-5938	354	2	,	,	PUNCT
ajase-5938	354	3	j.	j.	PROPN
ajase-5938	354	4	,	,	PUNCT
ajase-5938	354	5	&	&	CCONJ
ajase-5938	354	6	li	li	PROPN
ajase-5938	354	7	,	,	PUNCT
ajase-5938	354	8	r.	r.	PROPN
ajase-5938	354	9	(	(	PUNCT
ajase-5938	354	10	2001	2001	NUM
ajase-5938	354	11	)	)	PUNCT
ajase-5938	354	12	.	.	PUNCT
ajase-5938	355	1	variable	variable	ADJ
ajase-5938	355	2	selection	selection	NOUN
ajase-5938	355	3	via	via	ADP
ajase-5938	355	4	nonconcave	nonconcave	PROPN
ajase-5938	355	5	penalized	penalize	VERB
ajase-5938	355	6	likelihood	likelihood	NOUN
ajase-5938	355	7	and	and	CCONJ
ajase-5938	355	8	its	its	PRON
ajase-5938	355	9	oracle	oracle	NOUN
ajase-5938	355	10	properties	property	NOUN
ajase-5938	355	11	.	.	PUNCT
ajase-5938	356	1	jasa	jasa	PROPN
ajase-5938	356	2	.	.	PUNCT
ajase-5938	357	1	gupta	gupta	PROPN
ajase-5938	357	2	,	,	PUNCT
ajase-5938	357	3	v.	v.	PROPN
ajase-5938	357	4	,	,	PUNCT
ajase-5938	357	5	chen	chen	PROPN
ajase-5938	357	6	,	,	PUNCT
ajase-5938	357	7	y.	y.	PROPN
ajase-5938	357	8	,	,	PUNCT
ajase-5938	357	9	&	&	CCONJ
ajase-5938	357	10	wan	wan	PROPN
ajase-5938	357	11	,	,	PUNCT
ajase-5938	357	12	m.	m.	NOUN
ajase-5938	357	13	(	(	PUNCT
ajase-5938	357	14	2024	2024	NUM
ajase-5938	357	15	)	)	PUNCT
ajase-5938	357	16	.	.	PUNCT
ajase-5938	358	1	predictability	predictability	NOUN
ajase-5938	358	2	of	of	ADP
ajase-5938	358	3	weakly	weakly	ADJ
ajase-5938	358	4	turbulent	turbulent	ADJ
ajase-5938	358	5	systems	system	NOUN
ajase-5938	358	6	from	from	ADP
ajase-5938	358	7	spatially	spatially	ADV
ajase-5938	358	8	sparse	sparse	ADJ
ajase-5938	358	9	observations	observation	NOUN
ajase-5938	358	10	using	use	VERB
ajase-5938	358	11	data	datum	NOUN
ajase-5938	358	12	assimilation	assimilation	NOUN
ajase-5938	358	13	and	and	CCONJ
ajase-5938	358	14	machine	machine	NOUN
ajase-5938	358	15	learning	learning	NOUN
ajase-5938	358	16	.	.	PUNCT
ajase-5938	359	1	arxiv	arxiv	PROPN
ajase-5938	359	2	preprint	preprint	PROPN
ajase-5938	359	3	arxiv:2407.10088	arxiv:2407.10088	NOUN
ajase-5938	359	4	.	.	PUNCT
ajase-5938	360	1	hoerl	hoerl	PROPN
ajase-5938	360	2	,	,	PUNCT
ajase-5938	360	3	a.	a.	PROPN
ajase-5938	360	4	e.	e.	PROPN
ajase-5938	360	5	,	,	PUNCT
ajase-5938	360	6	&	&	CCONJ
ajase-5938	360	7	kennard	kennard	PROPN
ajase-5938	360	8	,	,	PUNCT
ajase-5938	360	9	r.	r.	PROPN
ajase-5938	360	10	w.	w.	PROPN
ajase-5938	360	11	(	(	PUNCT
ajase-5938	360	12	1970	1970	NUM
ajase-5938	360	13	)	)	PUNCT
ajase-5938	360	14	.	.	PUNCT
ajase-5938	361	1	ridge	ridge	PROPN
ajase-5938	361	2	regression	regression	PROPN
ajase-5938	361	3	:	:	PUNCT
ajase-5938	361	4	biased	biased	ADJ
ajase-5938	361	5	estimation	estimation	NOUN
ajase-5938	361	6	for	for	ADP
ajase-5938	361	7	nonorthogonal	nonorthogonal	ADJ
ajase-5938	361	8	problems	problem	NOUN
ajase-5938	361	9	.	.	PUNCT
ajase-5938	362	1	technometrics	technometric	NOUN
ajase-5938	362	2	.	.	PUNCT
ajase-5938	363	1	jolliffe	jolliffe	PROPN
ajase-5938	363	2	,	,	PUNCT
ajase-5938	363	3	i.	i.	PROPN
ajase-5938	363	4	t.	t.	PROPN
ajase-5938	363	5	(	(	PUNCT
ajase-5938	363	6	2002	2002	NUM
ajase-5938	363	7	)	)	PUNCT
ajase-5938	363	8	.	.	PUNCT
ajase-5938	364	1	principal	principal	ADJ
ajase-5938	364	2	component	component	NOUN
ajase-5938	364	3	analysis	analysis	NOUN
ajase-5938	364	4	.	.	PUNCT
ajase-5938	365	1	springer	springer	NOUN
ajase-5938	365	2	.	.	PUNCT
ajase-5938	366	1	kawano	kawano	PROPN
ajase-5938	366	2	,	,	PUNCT
ajase-5938	366	3	s.	s.	PROPN
ajase-5938	366	4	(	(	PUNCT
ajase-5938	366	5	2018	2018	NUM
ajase-5938	366	6	)	)	PUNCT
ajase-5938	366	7	.	.	PUNCT
ajase-5938	367	1	sparse	sparse	ADJ
ajase-5938	367	2	principal	principal	ADJ
ajase-5938	367	3	component	component	NOUN
ajase-5938	367	4	regression	regression	NOUN
ajase-5938	367	5	(	(	PUNCT
ajase-5938	367	6	one	one	NUM
ajase-5938	367	7	-	-	PUNCT
ajase-5938	367	8	stage	stage	NOUN
ajase-5938	367	9	spcr	spcr	ADJ
ajase-5938	367	10	literature	literature	NOUN
ajase-5938	367	11	)	)	PUNCT
ajase-5938	367	12	.	.	PUNCT
ajase-5938	368	1	kitano	kitano	PROPN
ajase-5938	368	2	,	,	PUNCT
ajase-5938	368	3	t.	t.	PROPN
ajase-5938	368	4	,	,	PUNCT
ajase-5938	368	5	&	&	CCONJ
ajase-5938	368	6	noma	noma	PROPN
ajase-5938	368	7	,	,	PUNCT
ajase-5938	368	8	h.	h.	PROPN
ajase-5938	368	9	(	(	PUNCT
ajase-5938	368	10	2024	2024	NUM
ajase-5938	368	11	)	)	PUNCT
ajase-5938	368	12	.	.	PUNCT
ajase-5938	369	1	ridge	ridge	PROPN
ajase-5938	369	2	,	,	PUNCT
ajase-5938	369	3	lasso	lasso	NOUN
ajase-5938	369	4	,	,	PUNCT
ajase-5938	369	5	and	and	CCONJ
ajase-5938	369	6	elasticnet	elasticnet	NOUN
ajase-5938	369	7	estimations	estimation	NOUN
ajase-5938	369	8	of	of	ADP
ajase-5938	369	9	the	the	DET
ajase-5938	369	10	modified	modify	VERB
ajase-5938	369	11	poisson	poisson	NOUN
ajase-5938	369	12	and	and	CCONJ
ajase-5938	369	13	least	least	ADJ
ajase-5938	369	14	-	-	PUNCT
ajase-5938	369	15	squares	square	NOUN
ajase-5938	369	16	regressions	regression	NOUN
ajase-5938	369	17	for	for	ADP
ajase-5938	369	18	binary	binary	ADJ
ajase-5938	369	19	outcome	outcome	NOUN
ajase-5938	369	20	data	datum	NOUN
ajase-5938	369	21	.	.	PUNCT
ajase-5938	370	1	arxiv	arxiv	PROPN
ajase-5938	370	2	preprint	preprint	VERB
ajase-5938	370	3	arxiv:2408.13474	arxiv:2408.13474	PROPN
ajase-5938	370	4	.	.	PUNCT
ajase-5938	371	1	manzhos	manzhos	PROPN
ajase-5938	371	2	,	,	PUNCT
ajase-5938	371	3	s.	s.	PROPN
ajase-5938	371	4	,	,	PUNCT
ajase-5938	371	5	&	&	CCONJ
ajase-5938	371	6	ihara	ihara	PROPN
ajase-5938	371	7	,	,	PUNCT
ajase-5938	371	8	m.	m.	NOUN
ajase-5938	371	9	(	(	PUNCT
ajase-5938	371	10	2022	2022	NUM
ajase-5938	371	11	)	)	PUNCT
ajase-5938	371	12	.	.	PUNCT
ajase-5938	372	1	advanced	advanced	ADJ
ajase-5938	372	2	machine	machine	NOUN
ajase-5938	372	3	learning	learn	VERB
ajase-5938	372	4	methods	method	NOUN
ajase-5938	372	5	for	for	ADP
ajase-5938	372	6	learning	learn	VERB
ajase-5938	372	7	from	from	ADP
ajase-5938	372	8	sparse	sparse	ADJ
ajase-5938	372	9	data	datum	NOUN
ajase-5938	372	10	in	in	ADP
ajase-5938	372	11	high	high	ADJ
ajase-5938	372	12	-	-	PUNCT
ajase-5938	372	13	dimensional	dimensional	ADJ
ajase-5938	372	14	spaces	space	NOUN
ajase-5938	372	15	:	:	PUNCT
ajase-5938	372	16	a	a	DET
ajase-5938	372	17	perspective	perspective	NOUN
ajase-5938	372	18	on	on	ADP
ajase-5938	372	19	uses	use	NOUN
ajase-5938	372	20	in	in	ADP
ajase-5938	372	21	the	the	DET
ajase-5938	372	22	upstream	upstream	NOUN
ajase-5938	372	23	of	of	ADP
ajase-5938	372	24	development	development	NOUN
ajase-5938	372	25	of	of	ADP
ajase-5938	372	26	novel	novel	ADJ
ajase-5938	372	27	energy	energy	NOUN
ajase-5938	372	28	technologies	technology	NOUN
ajase-5938	372	29	.	.	PUNCT
ajase-5938	373	1	physchem	physchem	PROPN
ajase-5938	373	2	,	,	PUNCT
ajase-5938	373	3	2(2	2(2	NUM
ajase-5938	373	4	)	)	PUNCT
ajase-5938	373	5	,	,	PUNCT
ajase-5938	373	6	72	72	NUM
ajase-5938	373	7	-	-	SYM
ajase-5938	373	8	95	95	NUM
ajase-5938	373	9	.	.	PUNCT
ajase-5938	374	1	meinshausen	meinshausen	NOUN
ajase-5938	374	2	,	,	PUNCT
ajase-5938	374	3	n.	n.	NOUN
ajase-5938	374	4	(	(	PUNCT
ajase-5938	374	5	2007	2007	NUM
ajase-5938	374	6	)	)	PUNCT
ajase-5938	374	7	.	.	PUNCT
ajase-5938	375	1	relaxed	relax	VERB
ajase-5938	375	2	lasso	lasso	NOUN
ajase-5938	375	3	and	and	CCONJ
ajase-5938	375	4	stability	stability	NOUN
ajase-5938	375	5	selection	selection	NOUN
ajase-5938	375	6	literature	literature	NOUN
ajase-5938	375	7	.	.	PUNCT
ajase-5938	376	1	nwosu	nwosu	PROPN
ajase-5938	376	2	,	,	PUNCT
ajase-5938	376	3	a.	a.	PROPN
ajase-5938	376	4	,	,	PUNCT
ajase-5938	376	5	aimufua	aimufua	PROPN
ajase-5938	376	6	,	,	PUNCT
ajase-5938	376	7	g.	g.	PROPN
ajase-5938	376	8	i.	i.	PROPN
ajase-5938	376	9	o.	o.	PROPN
ajase-5938	376	10	,	,	PUNCT
ajase-5938	376	11	ajayi	ajayi	PROPN
ajase-5938	376	12	,	,	PUNCT
ajase-5938	376	13	b.	b.	PROPN
ajase-5938	376	14	a.	a.	PROPN
ajase-5938	376	15	,	,	PUNCT
ajase-5938	376	16	&	&	CCONJ
ajase-5938	376	17	olalere	olalere	ADV
ajase-5938	376	18	,	,	PUNCT
ajase-5938	376	19	m.	m.	NOUN
ajase-5938	376	20	(	(	PUNCT
ajase-5938	376	21	2024	2024	NUM
ajase-5938	376	22	)	)	PUNCT
ajase-5938	376	23	.	.	PUNCT
ajase-5938	377	1	the	the	DET
ajase-5938	377	2	impact	impact	NOUN
ajase-5938	377	3	of	of	ADP
ajase-5938	377	4	regularization	regularization	NOUN
ajase-5938	377	5	on	on	ADP
ajase-5938	377	6	linear	linear	PROPN
ajase-5938	377	7	regression	regression	NOUN
ajase-5938	377	8	based	base	VERB
ajase-5938	377	9	model	model	NOUN
ajase-5938	377	10	.	.	PUNCT
ajase-5938	378	1	journal	journal	PROPN
ajase-5938	378	2	of	of	ADP
ajase-5938	378	3	artificial	artificial	ADJ
ajase-5938	378	4	intelligence	intelligence	NOUN
ajase-5938	378	5	and	and	CCONJ
ajase-5938	378	6	computer	computer	NOUN
ajase-5938	378	7	science	science	NOUN
ajase-5938	378	8	,	,	PUNCT
ajase-5938	378	9	1(1	1(1	NUM
ajase-5938	378	10	)	)	PUNCT
ajase-5938	378	11	.	.	PUNCT
ajase-5938	379	1	priya	priya	PROPN
ajase-5938	379	2	,	,	PUNCT
ajase-5938	379	3	a.	a.	PROPN
ajase-5938	379	4	k.	k.	PROPN
ajase-5938	379	5	,	,	PUNCT
ajase-5938	379	6	gnanasekaran	gnanasekaran	NOUN
ajase-5938	379	7	,	,	PUNCT
ajase-5938	379	8	l.	l.	PROPN
ajase-5938	379	9	,	,	PUNCT
ajase-5938	379	10	rajendran	rajendran	PROPN
ajase-5938	379	11	,	,	PUNCT
ajase-5938	379	12	s.	s.	PROPN
ajase-5938	379	13	,	,	PUNCT
ajase-5938	379	14	qin	qin	PROPN
ajase-5938	379	15	,	,	PUNCT
ajase-5938	379	16	j.	j.	PROPN
ajase-5938	379	17	,	,	PUNCT
ajase-5938	379	18	&	&	CCONJ
ajase-5938	379	19	vasseghian	vasseghian	ADJ
ajase-5938	379	20	,	,	PUNCT
ajase-5938	379	21	y.	y.	PROPN
ajase-5938	379	22	(	(	PUNCT
ajase-5938	379	23	2022	2022	NUM
ajase-5938	379	24	)	)	PUNCT
ajase-5938	379	25	.	.	PUNCT
ajase-5938	380	1	occurrences	occurrence	NOUN
ajase-5938	380	2	and	and	CCONJ
ajase-5938	380	3	removal	removal	NOUN
ajase-5938	380	4	of	of	ADP
ajase-5938	380	5	pharmaceutical	pharmaceutical	NOUN
ajase-5938	380	6	and	and	CCONJ
ajase-5938	380	7	personal	personal	ADJ
ajase-5938	380	8	care	care	NOUN
ajase-5938	380	9	products	product	NOUN
ajase-5938	380	10	from	from	ADP
ajase-5938	380	11	aquatic	aquatic	ADJ
ajase-5938	380	12	systems	system	NOUN
ajase-5938	380	13	using	use	VERB
ajase-5938	380	14	advanced	advanced	ADJ
ajase-5938	380	15	treatment	treatment	NOUN
ajase-5938	380	16	-	-	PUNCT
ajase-5938	380	17	a	a	DET
ajase-5938	380	18	review	review	NOUN
ajase-5938	380	19	.	.	PUNCT
ajase-5938	381	1	environmental	environmental	ADJ
ajase-5938	381	2	research	research	NOUN
ajase-5938	381	3	,	,	PUNCT
ajase-5938	381	4	204	204	NUM
ajase-5938	381	5	,	,	PUNCT
ajase-5938	381	6	112298	112298	NUM
ajase-5938	381	7	.	.	PUNCT
ajase-5938	382	1	song	song	PROPN
ajase-5938	382	2	,	,	PUNCT
ajase-5938	382	3	j.	j.	PROPN
ajase-5938	382	4	,	,	PUNCT
ajase-5938	382	5	xu	xu	PROPN
ajase-5938	382	6	,	,	PUNCT
ajase-5938	382	7	l.	l.	PROPN
ajase-5938	382	8	,	,	PUNCT
ajase-5938	382	9	&	&	CCONJ
ajase-5938	382	10	wang	wang	PROPN
ajase-5938	382	11	,	,	PUNCT
ajase-5938	382	12	x.	x.	PROPN
ajase-5938	382	13	(	(	PUNCT
ajase-5938	382	14	2024	2024	NUM
ajase-5938	382	15	,	,	PUNCT
ajase-5938	382	16	july	july	PROPN
ajase-5938	382	17	)	)	PUNCT
ajase-5938	382	18	.	.	PUNCT
ajase-5938	383	1	a	a	DET
ajase-5938	383	2	regularization	regularization	NOUN
ajase-5938	383	3	method	method	NOUN
ajase-5938	383	4	for	for	ADP
ajase-5938	383	5	enhancing	enhance	VERB
ajase-5938	383	6	the	the	DET
ajase-5938	383	7	robustness	robustness	NOUN
ajase-5938	383	8	of	of	ADP
ajase-5938	383	9	regression	regression	NOUN
ajase-5938	383	10	networks	network	NOUN
ajase-5938	383	11	.	.	PUNCT
ajase-5938	384	1	in	in	ADP
ajase-5938	384	2	2024	2024	NUM
ajase-5938	384	3	43rd	43rd	ADJ
ajase-5938	384	4	chinese	chinese	ADJ
ajase-5938	384	5	control	control	PROPN
ajase-5938	384	6	conference	conference	PROPN
ajase-5938	384	7	(	(	PUNCT
ajase-5938	384	8	ccc	ccc	PROPN
ajase-5938	384	9	)	)	PUNCT
ajase-5938	384	10	(	(	PUNCT
ajase-5938	384	11	pp	pp	X
ajase-5938	384	12	.	.	PUNCT
ajase-5938	384	13	8524	8524	NUM
ajase-5938	384	14	-	-	SYM
ajase-5938	384	15	8529	8529	NUM
ajase-5938	384	16	)	)	PUNCT
ajase-5938	384	17	.	.	PUNCT
ajase-5938	385	1	ieee	ieee	PROPN
ajase-5938	385	2	.	.	PUNCT
ajase-5938	386	1	tibshirani	tibshirani	PROPN
ajase-5938	386	2	,	,	PUNCT
ajase-5938	386	3	r.	r.	PROPN
ajase-5938	386	4	(	(	PUNCT
ajase-5938	386	5	1996	1996	NUM
ajase-5938	386	6	)	)	PUNCT
ajase-5938	386	7	.	.	PUNCT
ajase-5938	387	1	regression	regression	NOUN
ajase-5938	387	2	shrinkage	shrinkage	NOUN
ajase-5938	387	3	and	and	CCONJ
ajase-5938	387	4	selection	selection	NOUN
ajase-5938	387	5	via	via	ADP
ajase-5938	387	6	the	the	DET
ajase-5938	387	7	lasso	lasso	NOUN
ajase-5938	387	8	.	.	PUNCT
ajase-5938	388	1	jrss	jrss	PROPN
ajase-5938	388	2	-	-	PUNCT
ajase-5938	388	3	b.	b.	PROPN
ajase-5938	388	4	witten	witten	PROPN
ajase-5938	388	5	,	,	PUNCT
ajase-5938	388	6	d.	d.	PROPN
ajase-5938	388	7	m.	m.	PROPN
ajase-5938	388	8	,	,	PUNCT
ajase-5938	388	9	tibshirani	tibshirani	PROPN
ajase-5938	388	10	,	,	PUNCT
ajase-5938	388	11	r.	r.	PROPN
ajase-5938	388	12	,	,	PUNCT
ajase-5938	388	13	&	&	CCONJ
ajase-5938	388	14	hastie	hastie	PROPN
ajase-5938	388	15	,	,	PUNCT
ajase-5938	388	16	t.	t.	PROPN
ajase-5938	388	17	(	(	PUNCT
ajase-5938	388	18	2009	2009	NUM
ajase-5938	388	19	)	)	PUNCT
ajase-5938	388	20	.	.	PUNCT
ajase-5938	389	1	a	a	DET
ajase-5938	389	2	penalized	penalize	VERB
ajase-5938	389	3	matrix	matrix	NOUN
ajase-5938	389	4	decomposition	decomposition	NOUN
ajase-5938	389	5	,	,	PUNCT
ajase-5938	389	6	with	with	ADP
ajase-5938	389	7	applications	application	NOUN
ajase-5938	389	8	to	to	PART
ajase-5938	389	9	sparse	sparse	VERB
ajase-5938	389	10	principal	principal	ADJ
ajase-5938	389	11	components	component	NOUN
ajase-5938	389	12	and	and	CCONJ
ajase-5938	389	13	canonical	canonical	ADJ
ajase-5938	389	14	correlation	correlation	NOUN
ajase-5938	389	15	analysis	analysis	NOUN
ajase-5938	389	16	.	.	PUNCT
ajase-5938	390	1	biostatistics	biostatistic	NOUN
ajase-5938	390	2	.	.	PUNCT
ajase-5938	391	1	zhang	zhang	PROPN
ajase-5938	391	2	,	,	PUNCT
ajase-5938	391	3	x.	x.	PROPN
ajase-5938	391	4	,	,	PUNCT
ajase-5938	391	5	sun	sun	PROPN
ajase-5938	391	6	,	,	PUNCT
ajase-5938	391	7	q.	q.	PROPN
ajase-5938	391	8	,	,	PUNCT
ajase-5938	391	9	&	&	CCONJ
ajase-5938	391	10	kong	kong	PROPN
ajase-5938	391	11	,	,	PUNCT
ajase-5938	391	12	d.	d.	PROPN
ajase-5938	391	13	(	(	PUNCT
ajase-5938	391	14	2024	2024	NUM
ajase-5938	391	15	)	)	PUNCT
ajase-5938	391	16	.	.	PUNCT
ajase-5938	392	1	supervised	supervise	VERB
ajase-5938	392	2	principal	principal	ADJ
ajase-5938	392	3	component	component	NOUN
ajase-5938	392	4	regression	regression	NOUN
ajase-5938	392	5	for	for	ADP
ajase-5938	392	6	functional	functional	ADJ
ajase-5938	392	7	responses	response	NOUN
ajase-5938	392	8	with	with	ADP
ajase-5938	392	9	high	high	ADJ
ajase-5938	392	10	dimensional	dimensional	ADJ
ajase-5938	392	11	predictors	predictor	NOUN
ajase-5938	392	12	.	.	PUNCT
ajase-5938	393	1	journal	journal	NOUN
ajase-5938	393	2	of	of	ADP
ajase-5938	393	3	computational	computational	ADJ
ajase-5938	393	4	and	and	CCONJ
ajase-5938	393	5	graphical	graphical	ADJ
ajase-5938	393	6	statistics	statistic	NOUN
ajase-5938	393	7	,	,	PUNCT
ajase-5938	393	8	33(1	33(1	NUM
ajase-5938	393	9	)	)	PUNCT
ajase-5938	393	10	,	,	PUNCT
ajase-5938	393	11	242	242	NUM
ajase-5938	393	12	-	-	SYM
ajase-5938	393	13	249	249	NUM
ajase-5938	393	14	.	.	PUNCT
ajase-5938	394	1	zou	zou	PROPN
ajase-5938	394	2	,	,	PUNCT
ajase-5938	394	3	h.	h.	PROPN
ajase-5938	394	4	,	,	PUNCT
ajase-5938	394	5	&	&	CCONJ
ajase-5938	394	6	hastie	hastie	PROPN
ajase-5938	394	7	,	,	PUNCT
ajase-5938	394	8	t.	t.	PROPN
ajase-5938	394	9	(	(	PUNCT
ajase-5938	394	10	2005	2005	NUM
ajase-5938	394	11	)	)	PUNCT
ajase-5938	394	12	.	.	PUNCT
ajase-5938	395	1	regularization	regularization	NOUN
ajase-5938	395	2	and	and	CCONJ
ajase-5938	395	3	variable	variable	ADJ
ajase-5938	395	4	selection	selection	NOUN
ajase-5938	395	5	via	via	ADP
ajase-5938	395	6	the	the	DET
ajase-5938	395	7	elastic	elastic	ADJ
ajase-5938	395	8	net	net	NOUN
ajase-5938	395	9	.	.	PUNCT
ajase-5938	396	1	jrss	jrss	PROPN
ajase-5938	396	2	-	-	PUNCT
ajase-5938	396	3	b.	b.	PROPN
ajase-5938	396	4	zou	zou	PROPN
ajase-5938	396	5	,	,	PUNCT
ajase-5938	396	6	h.	h.	PROPN
ajase-5938	396	7	,	,	PUNCT
ajase-5938	396	8	hastie	hastie	PROPN
ajase-5938	396	9	,	,	PUNCT
ajase-5938	396	10	t.	t.	PROPN
ajase-5938	396	11	,	,	PUNCT
ajase-5938	396	12	&	&	CCONJ
ajase-5938	396	13	tibshirani	tibshirani	PROPN
ajase-5938	396	14	,	,	PUNCT
ajase-5938	396	15	r.	r.	PROPN
ajase-5938	396	16	(	(	PUNCT
ajase-5938	396	17	2006	2006	NUM
ajase-5938	396	18	)	)	PUNCT
ajase-5938	396	19	.	.	PUNCT
ajase-5938	397	1	sparse	sparse	VERB
ajase-5938	397	2	principal	principal	ADJ
ajase-5938	397	3	component	component	NOUN
ajase-5938	397	4	analysis	analysis	NOUN
ajase-5938	397	5	.	.	PUNCT
ajase-5938	398	1	journal	journal	NOUN
ajase-5938	398	2	of	of	ADP
ajase-5938	398	3	computational	computational	ADJ
ajase-5938	398	4	and	and	CCONJ
ajase-5938	398	5	graphical	graphical	ADJ
ajase-5938	398	6	statistics	statistic	NOUN
ajase-5938	398	7	.	.	PUNCT