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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http://www.R-project.org/posting-guide.htmland provide commented, minimal, self-contained, reproducible code.
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