Math, asked by khatriaashish6671, 1 year ago

How to reduce multicollinearity in multiple regression?

Answers

Answered by shivannya
11
hlo dear
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, regression methods that cut the number of predictors to a smaller set of uncorrelated components.
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Answered by Garima1111
0
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, regression methods that cut the number of predictors to a smaller set of uncorrelated components.
hope it helps u......
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