PCA-GLMM
Hi, I have performed a PCA analysis which highlighted two axes PC1 and PC2. I want to perform a GLMM analysis considering the PC1 axis as a dependent variable (variable to explain) with Poisson or negative binomial family, but it was not possible since the values of this axis are negative. In such a case what should I do? I also need to perform glmmPQL to consider spatial autocorrelation. LME could be a solution (instead of GLMM)? If yes, how could I perform glmmPQL? Thank you for your precious help. Regards.
Sa?d Hanane, PhD Service d'Ecologie, de Biodiversit? et de Conservation des Sols Centre de Recherche Foresti?re Chariae Omar Ibn Al Khattab, BP 763, Rabat-Agdal/Maroc. [image: Mailtrack] <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=signaturevirality5&> Sender notified by Mailtrack <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=signaturevirality5&> 30/06/20 ? 21:07:24 [[alternative HTML version deleted]]