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Is there a way to check for multi-collinearity of explanatory variables as part of model building using logistic regression?
I read somewhere that I should first use Linear Regression model to check for collinearity of explanatory variables and then remove / modify them before including them in logit model.
Are there any standard methods to handle this issue in logistic regression
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