I am running a regression analyis in r:
fit <- lm(Cost ~ Slope + YardDist, data = test)
I want to test the two independent variables for multicollinearity. I tested it with
vif() (from the car package) and
> vif(fit) Slope YardDist 1.000121 1.000121 > kappa(fit)  11631.87
VIF tells me there is no multicollinearity and kappa tells me there is very high multicollinearity. What is the difference between both and which one is 'right'?