voomControl: Define controlling parameters for voom-based classifiers
In dncR/MLSeq: Machine Learning Interface for RNA-Seq Data

This function sets the control parameters for voom based classifiers while training the model.

1 2	voomControl(method = "repeatedcv", number = 5, repeats = 10, tuneLength = 10)

`method`	validation method. Support repeated cross validation only ("repeatedcv").
`number`	a positive integer. Number of folds.
`repeats`	a positive integer. Number of repeats.
`tuneLength`	a positive integer. If there is a tuning parameter in the classifier, this value is used to define total number of tuning parameter to be searched.