id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajase-5938	Onifade, Oluwafemi Clement; Olanrewaju, Samuel Olayemi; Oguntade, Emmanuel Segun	Maximizing Predictive Regression and Dimensionality Reduction Techniques: Evidence from Monte Carlo’s Simulation Study	2025	15	.pdf	application/pdf	7212	328	49	Table 7: Overview of Best Estimators under Different Considered Small Sample Sizes, High-Dimensionality, Multicollinearity and Sparsity Levels n r 0.1 0.5 0.9 0.1 0.5 0.9 0.1 0.5 0.9 p 50 70 200 30 10% Lasso Lasso SPCR- Lasso SPCR- Lasso SPCR- Lasso SPCR- Lasso SPCR- Lasso Lasso SPCR- Lasso 30% Lasso Lasso SPCR- Lasso SPCR- Lasso SPCR- Lasso SPCR- Lasso SPCR- Lasso Enet Lasso Pa ge 13 9 https://journals.e-palli.com/home/index.php/ajase Am. Econ. 4(1) 127-140, 2025 70 100 200 50 10% SPCR- SCAD Lasso SPCR- Lasso Lasso Lasso SPCR- SCAD SPCR- Lasso Lasso SPCR- Enet 30% Lasso Lasso SPCR- SCAD Lasso Lasso SPCR- SCAD Lasso Lasso SPCR- Enet 100 150 200 70 10% Lasso Enet SPCR- Lasso Lasso Lasso SPCR- Enet SPCR- SCAD SPCR- SCAD SPCR- Enet 30% Lasso Lasso SPCR- Enet Lasso Lasso SPCR- Lasso Lasso Lasso SPCR- Lasso 120 150 200 100 10% Lasso Lasso SPCR- Lasso Lasso Lasso SPCR- Lasso Lasso Lasso SPCR- Lasso 30% Lasso Lasso SPCR- Lasso Lasso Lasso SPCR- Lasso Lasso Lasso SPCR- Lasso Source: Researchers’ Compilations Discussion of Findings Theoretical and Methodological Insights The results validate the rationale for hybridizing SPCR with regularization penalties.	cache/ajase-5938.pdf	txt/ajase-5938.txt