Dear R-Users,

Am I right if I say that comparisons among gls models with differing fixed
effects, but same correlation stuctures, fitted by REML is not meaningful? I
need to use ML fit to get comparable AIC, BIC values? And the same is
applied to likelihood ratio statistics?
I don't really know what's the differece between the two fitting methods.
Does anybody have a good documentation for understanding them? Would much
esaier to understand restrictions of REMLfit if I see the mathematical
background of it.


Cheers,
Balazs

	[[alternative HTML version deleted]]

