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List:       r-sig-mixed-models
Subject:    [R-sig-ME] PCA-GLMM
From:       Saâd HANANE <sdhan333 () gmail ! com>
Date:       2020-06-30 20:08:12
Message-ID: CA+QAJT7k8dy=COdY03t8pazp8Zq4V_r4wx=dH=ixh3=8nfBv1A () mail ! gmail ! com
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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.

-- 
Saâd Hanane, PhD
Service d'Ecologie, de Biodiversité et de Conservation des Sols
Centre de Recherche Forestière
Chariae Omar Ibn Al Khattab, BP 763, Rabat-Agdal/Maroc.




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