swagControl: Control for swag function
In swag: Sparse Wrapper Algorithm

The Spare Wrapper AlGorithm depends on some meta-parameters that are described below.

1	swagControl(pmax = 3, m = 100, alpha = 0.05, seed = 163L, verbose = FALSE)

`pmax`	A `integer` representing the maximum number of attributes per learner.
`m`	A `integer` representing the maximum number of learners per dimension explored.
`alpha`	A `double` representing the proportion of screening.
`seed`	An `integer` that controls the reproducibility.
`verbose`	A `boolean` for printing current progress of the algorithm.