Is there someone that can help me in computing pseudo R2 after estimation using Maximum Likelihood MT 2.0?
What sort of model are you estimating? The formula depends on the type of model. You would need a null model and then the pseudo R2 would be
1 - exp((2/N) * (logLik(0) - logLik(x)))
where logLik(x) is the logLikelihood from the full model, and logLik(0) is that from the null model. This is a version of the Cox and Snell pseudo R2.