fit.rforest: Function to fit rforest to a data.frame or an expressionSet
In isglobal-brge/nlOmicAssoc: non-linar omic association

Random forest models are fitted for each row in data using package randomForest

1 2	fit.rforest(data = data_m, vars_df = vars_df, seed = NULL, maxnodes = 15L, ntree = 2000, cores = 1L, verbose = FALSE, ...)

`data`	`ExpressionSet` or data.frame with samples as columns and observations as rows could be an ExpressionSet(modif!)
`vars_df`	data.frame with sampes as rows and variables as columns
`seed`	set a see, for reproducibility
`maxnodes`	maximum number of terminal nodes trees in the forest can have
`ntree`	number of trees to grow
`cores`	cores in case of parallelization (no windows)
`verbose`	logical to verbose (comment) the steps of the function, default(FALSE)
`df`	degrees of freedom to apply to model