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A Monte Carlo comparison between ridge and principal components regression methods
Multicollinearity ridge regression principal component regression
2010/9/15
A basic assumption concerned with general linear regression model is that there is no correlation (or no multicollinearity) between the explanatory variables. When this assumption is not satisfied, th...