Math, asked by Shwetarana4170, 1 year ago

How to deal with multicollinearity in linear regression?

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Answered by Anonymous
0

Answer:

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.

Answered by Garvitgupta024
0

Hello....

Your answer is here

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