Hi!

I'm running a zero-inflated negative binomial regression on a large (n=54822) set of confidential data. I'm using the code: 
ZerNegBinRegress<-zeroinfl(Paper~.|., data=OvsP, dist="negbin", EM=TRUE)

And keep getting the error: 

Warning message:
glm.fit: fitted probabilities numerically 0 or 1 occurred 

I've done enough reading about this error to realize that I have a linear separation issue, for which the solution seems to be eliminating variables. However, elminating via trial and error isn't getting me anywhere, especially since the regression takes about 10 minutes to run every time. I tried to identify the issue using the xtab function and received this error:

Error: cannot allocate vector of size 1.4 Gb

Is there an easier way to identify the covariate that is causing me problems here? Also, am I right in assuming that the count regression should be fine, while its just the logit regression that is causing me the issue (I've never done a zero-inflated regression before). 

Thanks!!

Carly


 		 	   		  
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