\begin{Schunk}
\begin{Sinput}
 outreg(list(bushols5, bushlogit5, bushprobit5), tight=T, showAIC=T, modelLabels=c("OLS","Logit","Probit"), varLab = vl)
\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)    &0.060 &-5.012*** &-2.535*** \tabularnewline
     &  (0.081) &  (1.011) &  (0.531)\tabularnewline
  Bush Therm    &0.006*** &0.066*** &0.035*** \tabularnewline
     &  (0.001) &  (0.008) &  (0.004)\tabularnewline
  Ideology    &0.035*** &0.370*** &0.205*** \tabularnewline
     &  (0.009) &  (0.109) &  (0.058)\tabularnewline
  Party Dem.    &-0.357*** &-2.534*** &-1.421*** \tabularnewline
     &  (0.029) &  (0.321) &  (0.171)\tabularnewline
  Party Rep.    &0.201*** &1.295*** &0.699*** \tabularnewline
     &  (0.030) &  (0.332) &  (0.175)\tabularnewline
  Education    &-0.007 &-0.073 &-0.068 \tabularnewline
     &  (0.007) &  (0.084) &  (0.045)\tabularnewline
  US economy    &-0.007 &-0.055 &-0.021 \tabularnewline
     &  (0.010) &  (0.123) &  (0.066)\tabularnewline
 \hline
 N & 775 & 775 & 775 \tabularnewline
 RMSE             &0.298   &       &       \tabularnewline
 $R^2$             &0.644   &       &       \tabularnewline
 adj $R^2$         &0.641   &       &       \tabularnewline
 Deviance         &       &404.643   &408.672   \tabularnewline
 $-2LLR (Model \chi^2)$  &  &   662.072*** &   658.043*** \tabularnewline
 AIC & 333.271 & 418.643 & 422.672\tabularnewline
 \hline
\hline
 
 \multicolumn{4}{c}{${*  p}\le 0.05$${*\!\!*  p}\le 0.01$${*\!\!*\!\!*  p}\le 0.001$}\tabularnewline
 \end{tabular}\end{Schunk}
