Dear All,
Would like to know different ways to perform collinearity check while executing logistic regression.
I am aware of some of the ways but certainly not sure of.

Take each independent variable at a time as a function of other independent variables and calculate VIF. This way we will have an idea of what all independent variables are correlated.

Form a correlation matrix among independent variables and try to figure out the correlations.

Take your dependent and all independent variables and run them through a linear regression with VIF option.
Would really appreciate if anyone can help.
P.S  If someone suggests use of PCA, then do explain the procedure for that as well.
Regards
Saurabh Kapoor