I'm using R to compute robust multiple linear regression.
I use the command
rlm from the package MASS.
As psi function I use
Is there a way to get an estimator of the goodness of fit of the model? Maybe something comparable to the Adjusted R-squared, for the parametric multiple linear regression?
Moreover, am I right saying that this kind of robust regression doesn't solve the problem of non-normality of the dependent or independent variables?