I am trying to run a GLMM on some binomial data. My fixed factors include 2
dichotomous variables, day, and distance. When I run the model:
modelA<-glmmPQL(Leaving~Trial*Day*Dist,random=~1|Indiv,family="binomial")
I get the error:
iteration 1
Error in MEEM(object, conLin, control$niterEM) :
Singularity in backsolve at level 0, block 1
>From looking at previous help topics,(
http://tolstoy.newcastle.edu.au/R/help/02a/4473.html)
I gather this is because of the dichotomous predictor variables - what
approach should I take to avoid this problem?
Thanks, Elva.
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