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.
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