Dear R-help members,

I'd like to run a binomial logistic stepwise regression with ten explanatory
variables and as many interaction terms as R can handle. I'll come up with
the right R command sooner or later, but my real question is whether and how
the criterion for the evaluation of the different models can be set to be
the probability of the residual deviance in the Chi-Square distribution
(which would be more informative of overall model fit than AIC).

Thanks in advance for all your help.

Kind regards,

Mano Gabor TOTH
MA Political Science
Central European University

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