I am currently running a mixed log-linear model which is in this form:
Log yit = Xit + X2it + (1|individu)
I suspect a multicollinearity ( cor (Xit , X2it) close to 1 ). Do you think it makes sense to scale the explanatory variables (Xit). Or is there another alternative? If yes, how may I interpret the result( 1 SD?).
I already tried to linearize (Log yit = log Xit + (log Xit )2 + (1|individu)) but the result is not better. Thanks