Build a k-fold cross validation sample where training sets are the same size as the original data, and built by sampling disjoint from test/application sets (sampled with replacement).
kWayStratifiedYReplace(nRows, nSplits, dframe, y)
number of rows to split (>1)
number of groups to split into (<nRows,>1).
original data frame (ignored).
numeric outcome variable try to have equidistributed in each split.