\begin{Schunk}
\begin{Sinput}
 outreg(list(ols5,bushideolrm5,bushideoProbit5), tight=T, showAIC=T, modelLabels=c("OLS","Logit","Probit"))
\end{Sinput}
\begin{tabular}{*{4}{l}}
\hline
     &  OLS&  Logit&  Probit\tabularnewline
   & Estimate & Estimate & Estimate \tabularnewline
    & (S.E.) & (S.E.) & (S.E.)\tabularnewline
 \hline
 \hline
  (Intercept)    &0.079 &-4.814*** &-2.459*** \tabularnewline
     &  (0.080) &  (0.996) &  (0.524)\tabularnewline
  V023010    &0.007*** &0.068*** &0.036*** \tabularnewline
     &  (0.001) &  (0.008) &  (0.004)\tabularnewline
  V023022    &0.034*** &0.354*** &0.199*** \tabularnewline
     &  (0.009) &  (0.106) &  (0.056)\tabularnewline
  repub    &0.176*** &1.167*** &0.626*** \tabularnewline
     &  (0.029) &  (0.328) &  (0.172)\tabularnewline
  democ    &-0.375*** &-2.692*** &-1.503*** \tabularnewline
     &  (0.028) &  (0.318) &  (0.168)\tabularnewline
  V023027    &-0.007 &-0.042 &-0.017 \tabularnewline
     &  (0.010) &  (0.121) &  (0.064)\tabularnewline
  V023131    &-0.009 &-0.106 &-0.081 \tabularnewline
     &  (0.007) &  (0.083) &  (0.045)\tabularnewline
 \hline
 N & 800 & 800 & 800 \tabularnewline
 RMSE             &0.301   &       &       \tabularnewline
 $R^2$             &0.637   &       &       \tabularnewline
 adj $R^2$         &0.635   &       &       \tabularnewline
 Deviance         &       &422.074   &425.932   \tabularnewline
 $-2LLR (Model \chi^2)$  &  &   676.815*** &   672.957*** \tabularnewline
 AIC & 355.734 & 436.074 & 439.932\tabularnewline
 \hline
\hline
 
 \multicolumn{4}{c}{${*  p}\le 0.05$${*\!\!*  p}\le 0.01$${*\!\!*\!\!*  p}\le 0.001$}\tabularnewline
 \end{tabular}\end{Schunk}
