Dear all,

I've been reading for many days trying to predict with lmer but I haven't

managed to do it.

I've fitted an allometric model for trees where I have included climatic

variables and diameter in the fixed part and

in the random part I've included the experimental sites where trees are and

also their provenance region.

The model is like this :

f431<-lmer(log(H05)~log(DN05)*(PwS+ PoS+ PpS+

TpS)+PoP:log(DN05)+PwP:log(DN05)+(log(DN05)-1|P)+(log(DN05)-1|S/B)+(log(DN05)|SP),

data=data)

once I 've fitted the model I would like to make predictions for a new

data frame of values.

But i don't know how to do it.

For example I am interested in know how height varies (at a fixed diameter)

for a mean rainfall of a site in each provenance region to contrast with

how height response is for a mean rainfall provenance of each site and

things like this.

If someone can give any suggestion I will be pleased to listen to.

Thanks very much for your time,

The best

Natalia