Phillips Perry writes:
>
> Hi Thomas,
>
> I'm anxious to see what more experienced folks say, but in the mean time,
> as I understand it, your first model is the right one:
>
> glmer(species richness ~ Ca + (year|plot), family=poisson, data=data)
>
> In this model, "year" is a fixed variable
Dear list members,
I try to predict indicator values by means of spectral reflectance. I
use the plsr function of the pls package with a leave-one-out
validation. For one model I receive negative R2_CV values. I know that
they mean that the model is bad in model my values. But when I test the
