Dear all, my question is some-what related to a previous post that received an answer. However, this time I want to ask you an advice about the fact that when fitting multivariate-multiple gls model.... different responses and-or different predictors could have DIFFERENT correlation structures (i.e. gaus, exp or spher.). How then one can fit a unique model? Maybe one can perform a gls without response for ANY spatially correlated variable by applying the correct corStructure and successively use the residuals of such models in a unique model. However, I'm not really sure about this. Thankyou in advance for any advice Best regards Paolo Piras _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
