[R] Controlling the number of interactions of a lme

[cleberchaves]

Hello everybody,
i'm trying to run a lme but am having a problem.

My model have many response variables and when i run the anova, the number
of interactions (up to six) is great and the p-values of all variables not
appear.

I wanted to know if i could to control the number of interactions of the
model, or if this method is the most advisable for so many variables.

Thanks in advance!

Follows the procedure I'm using:

v.is<-lme(is~direction*envir*region*hour*estom*esl, random=~1|ind/dir/reg,
tabela)
anova(v.is,test="F")



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