Hi all,
I fitted three models (Ordinary least squares, CAR, and SAR) as follows.

  W<-nb2listw(nlist,style="B")
 sar<-spautolm(Y~X,data=data.df,listw=W)
 car<-spautolm(Y~X,listw=W,data=data.df, family="CAR")
 ols<-lm(Y~X,data=data.df)
 AIC(ols,car,sar)
      df        AIC
ols  3      -124.4118
car  4     -138.4060
sar  4     -152.3936
In my understanding, smaller the AIC, better the model. So, can I conclude here that SAR is the best model as it has smallest AIC of -152.3936?

Milan 
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