Hello, 
Currently I am using R for building a logistic model using numerical and nominal data as predictors. Before doing the regression, the predictors are grouped.  The groups I determine manually by trying to maximize the information value (which is an indicator for the discriminatory power of the variable) under the condition that enough data are within each group (approx.  5%). 

Is there a method in R available which allows for an automated grouping/binning for that purpose? I know that e.g. SPSS has such a feature. I think such a feature is helpful in the modeling process. 

Regards,
Pano


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