Dear all,

I am trying to run permutation tests for GLM using the glmperm package. When I created my model,
I followed The R book and Mixed effects models and extensions in ecology with R. In both books, response
variables were specified by using cbind(). That is, response variable is in a matrix. This approach is not
a problem at all to run glm(). However, when I run  glm.perm(), it seems that response variable with cbind() is not good.
This is because glm.perm asks a vector of response variable, not a matrix.  Does glm() generate a vector for 
a response variable using cbind()? If it does, is there any way to extract the vector? Alternatively, I would like to know if
there are other options to run permutation tests for GLM with proportion data. Thank you for reading this message.

Yours,
Kota

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