How to deal with multicollinearity in linear regression?
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Remove highly correlated predictors from the model. If you have two or more factors with a high VIF, remove one from the model. ...
Use Partial Least Squares Regression (PLS) or Principal Components Analysis, regressionmethods that cut the number of predictors to a smaller set of uncorrelated components.
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