I am running a logistic regression in R and am attempting to determine if multicollinearity is a problem with my model.
When I run
vif() on my final model, I get
GVIF^1/(2*Df) columns. From what I have read
GVIF^1/(2*Df) is what I should use to assess muticollinearity, but I have been unable to determine what values I should use as a cut-off point.
Any help would be greatly appreciated.