@yaswanth912 wrote:
When there is multicollinearity between independent variables, we usually do PCA or factor analysis to compress or reduce the dimensions of the data as I know.
But if we want to know the attribute which impacts the target variable more when multicollinearity is present between independent variables, how do we find and what the procedure.
One suggestion was to do regression separately for each independent variable but incase if there are lot of variables how do we do.
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