Message-ID: <A7557249237BD449977E3AEE33C62AD317D8C529@DBXPRD0410MB394.eurprd04.prod.outlook.com>
Date: 2012-11-05T18:20:42Z
From: Paolo Piras
Subject: different spatial structures for different variables
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