\footnotesize
\begin{Schunk}
\begin{Sinput}
> res
\end{Sinput}
\begin{Soutput}
Neural Network

32 samples
10 predictors

No pre-processing
Resampling: Cross-Validated (32 fold, repeated 1 times)
Summary of sample sizes: 31, 31, 31, 31, 31, 31, ...
Resampling results across tuning parameters:

  size  decay  RMSE      Rsquared  MAE
   2    0.01   19.09069  NaN       19.09069
   2    0.10   19.09106  NaN       19.09106
  10    0.01   19.09064  NaN       19.09064
  10    0.10   19.09076  NaN       19.09076

RMSE was used to select the optimal model using
 the smallest value.
The final values used for the model were size = 10
 and decay = 0.01.
\end{Soutput}
\end{Schunk}