[R-sig-Geo] GLS model

[Edzer Pebesma]

Something to consider might be that under a mixed model, there are
essentially two types of residuals: those wrt the fixed effects, and
those wrt the fixed+random effects. You can define an R2 for each of
them. For instance,

> library(nlme)
> example(predict.lme)

yields both types of predictions.

On 07/08/2011 01:21 PM, Arnaud Mosnier wrote:
> Dear Yiching,
> 
> For now, I just use the square of the correlation between the observed
> and predicted
> values​​. But if someone has another solution, I am also very interested in
> suggestions!
> 
> Arnaud
> 
> 	[[alternative HTML version deleted]]
> 
> 
> 
> 
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-- 
Edzer Pebesma
Institute for Geoinformatics (ifgi), University of Münster
Weseler Straße 253, 48151 Münster, Germany. Phone: +49 251
8333081, Fax: +49 251 8339763  http://ifgi.uni-muenster.de
http://www.52north.org/geostatistics      e.pebesma at wwu.de