PLS回归在消除多重共线性中的作用

本文详细阐述了解释变量的多重共线性在回归建模与分析中的危害作用，并指出目前常用的几种消除多重线性影响的方法，以及它们的不足之处。本文结合实证研究指出：利用一种新的建模思路—ＰＬＳ回归，可以更好地消除多重共线性对建模准确性与可靠性所带来的影响

PLS Regression in the Function of Eliminating multi-correlation

This paper sets forth the harmfulness of multi-correlation in regression modelling and analysis,and moreover,it indicates that the several mothods of eliminating multi-correlation which are common used are not quite efficient.With an example,it introduces PLS regression-a new regression modelling method,which can eliminate the bad effect that affect the accurity and the reliabilty of model on account of the high correlation of the argument variables.