Variable Selection and Collinearity
Suppose we have a set of variables y, x l,...,x s and observations on these variables y 1, x i l,..., x is , i = 1,..., n. We want to identify which of the independent variables, x j , are important in a regression for y. There are several methods available for doing this.
KeywordsVariable Selection Design Matrix Forward Selection Ridge Regression Principal Component Regression
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