Multicollinear effects of weighted least squares regression

Abstract

Weighted least squares estimators, such as those arising from certain variance stabilizing transformations and robust regression procedures, alter the multicollinear structure of the original matrix of predictor variables. We investigate the effects of weighted least squares on the eigenvalues and the spectral condition number of the original correlation matrix of predictor variables.Biased estimation robust regression spectral condition number