caret has many useful preprocessing facilities for numeric predictors, such as removing near-zero-variance predictors, removing correlated predictors, removing linear combinations, centering/scaling, and Box-Cox transformations. However, these don't work for factor data, which is common in many learning tasks. Is there anything similar for factor data? Thanks in advance.
Maybe Matching Threads
Wisdom of the Ancients
