Enhanced Model Predictions through Principal Components and Average Least Squares-Centered Penalized Regression
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DOI: 10.3390/sym16040469
Abstract: We address the estimation of regression parameters for the ill-conditioned predictive linear model in this study. Traditional least squares methods often encounter challenges in yielding reliable results when there is multicollinearity. Therefore, we employ a… read more here.
Keywords: average least; least squares; centered penalized; regression ... See more keywords