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 This email may be confidential and subject to legal privilege, it may not reflect the views of the University of Canterbury, and it is not guaranteed to be virus free. If you are not an intended recipient, please notify the sender immediately and erase all copies of the message and any attachments. Please refer to http://www.canterbury.ac.nz/emaildisclaimer for more information. [[alternative HTML version deleted]]