Thanks a lot for the answer and I'm sorry for the silly question!
Also thanks for the conceptual advice! It was also a doubt of me and my
advisors.
Best!
2015-03-28 15:17 GMT-03:00 John Fox j...@mcmaster.ca:
Dear Rodolfo,
Sending the data helps, though if you had done what I suggested, you
Dear Rodolfo,
Sending the data helps, though if you had done what I suggested, you would have
seen what's going on:
snip --
dim(data)
[1] 8 8
summary(lm(response_variable ~ predictor_1 + predictor_2 + predictor_3 +
predictor_4
+ +
Hello. I'm trying to use the function vif from package car in a lm. However
it returns the following error:
Error in vif.default(lm(MDescores.sitescores ~ hidroperiodo + localizacao
+ : there are aliased coefficients in the model
When I exclude any predictor from the model, it returns this
Dear Rodolfo,
It's apparently the case that at least one of the columns of the model
matrix for your model is perfectly collinear with others.
There's not nearly enough information here to figure out exactly what the
problem is, and the information that you provided certainly falls short of
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