extract.features: Feature Extraction
In OmicsMarkeR: Classification and Feature Selection for 'Omics' Datasets

Extracts features from models that have been previously fit.

1 2	extract.features(x, dat = NULL, grp = NULL, method, model.features = FALSE, bestTune = NULL, f, comp.catch = NULL)

`x`	Previously fitted model
`dat`	Numeric variable data used for fitted models (In appropriate format)
`grp`	Vector of training classes
`method`	String indicating the INDIVIDUAL model being extracted from
`model.features`	Logical argument dictating if features selected determined by models instead of user determined number of features.
`bestTune`	If `model.features = TRUE`, must provide the parameter at which to extract features from the model.
`f`	Number of features to subset
`comp.catch`	An internal check for plsda models. If the optimal model contains only 1 component, the ncomp paramter must be set to 2 for the model. However, features are still extracted only from the first component.