Upstream changes:
Changes in 4.6-10:
* Fixed bugs introduced in 4.6-8 and 4.6-9. Levels for ordered factors
in predictors are no longer checked for consistency between training
and test data in predict.randomForest(). In 4.6-9 the response is mean
centered before running the algorithm (for regression), but the mean was
not added back in the $y component of the return object from
randomForest().
Changes in 4.6-9:
* Categorical predictors are allowed to have up to 53 categories now.
Changes in 4.6-8:
* There was a bug in the handling of ordered factors in randomForest.formula().
(Reported by Barry Rawlingson.)
* Changed randomForest.formula() and predict.randomForest() so that
predict() without newdata when na.action=na.exclude pads the output
with NAs to match the rows in the original data (suggested by Barry
Rawlingson.).
* There was a long standing bug in randomForest(..., proximity=TRUE, oob.prox=FALSE)
in regression mode. (Thanks to Stefano Romano for the report.)
