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#' Random forests via ordinalForest
#'
#' [ordinalForest::ordfor()] fits a model by creating a large number of
#' regression forests using different scorings of an ordinal response, then
#' creating a single regression forest based on an optimal subset of scorings.
#'
#' @includeRmd man/rmd/rand_forest_ordinalForest.md details
#'
#' @name details_rand_forest_ordinalForest
#' @keywords internal
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# See inst/README-DOCS.md for a description of how these files are processed
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