Me{spdep} error and results interpretation

Hi,

I fitted my spatial data (count data and environmental variables) to a 
glm.nb model. I decided to detect and correct for spatial 
autocorrelation using ME{spdep}. I used family poisson since with 
negative binomial the model did not converge. I received this warning 
after I added the eigenvectors into the model. Can you help me 
understand what the error means? Also, should I infer from the example 
below that spatial autocorrelation is negligible since the pr(ZI) values 
are so high?

tu1<-glm.nb(total.aeg~Total.number.of.units, data=inhdb, offset(x))

tuME<-ME(total.aeg~Total.number.of.units, data=inhdb, family="poisson", 
offset(x), listw=sw.nb, alpha=0.5)

tuME

  Eigenvector ZI pr(ZI)

0           NA NA   0.40

1           43 NA   0.39

2           19 NA   0.39

3           18 NA   0.36

4           34 NA   0.35

5           23 NA   0.41

6           25 NA   0.39

7           56 NA   0.36

8           51 NA   0.47

9           46 NA   0.41

10          36 NA   0.32

etc.....

inhdb$eigen_43<-fitted(tuME)[,1]

inhdb$eigen_19<-fitted(tuME)[,2]

tuglmME<-glm.nb(total.aeg~Total.number.of.units+fitted(tuME), data=inhdb, offset(x))

There were 27 warnings (use warnings() to see them)

Warning messages:

1: In theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  ... :

 iteration limit reached



Thank you for your help!

Best,

Amy



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