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Published in 2017 at "Quality Engineering"
DOI: 10.1080/08982112.2016.1258474
Abstract: ABSTRACT This article presents a new augmentation method to eliminate multicollinearity in observational datasets that contain several correlated variables. The purpose is to eliminate the correlations to facilitate the application of the least squares regression…
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Keywords:
method eliminate;
eliminate multicollinearity;
augmentation method;