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estoy
2012 Nov 20
2
Controlling the number of interactions of a lme
...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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