caret.train.model.list: Intended for use with caret; takes a list of items generated...
In bjsmith/r-mvpa: What the package does (short line)

Description Usage Arguments

Intended for use with caret; takes a list of items generated by companion function get.caret.model.spec, each of which has one value "method" and one value "tuning" These specify changeable parameters for models It provides a changeable framework so that multiple mthods can all be tested at once There is a list of models here: http://topepo.github.io/caret/modelList.html

1	caret.train.model.list(..., trControl, training.list)

`trControl`	passed directly to train caret; a list of values that define how this function acts. Default value if each item doesn't have its own trControl. See trainControl and http://topepo.github.io/caret/training.html#custom. (NOTE: If given, this argument must be named.)
`x`	passed directly to train caret; an object where samples are in rows and features are in columns. This could be a simple matrix, data frame or other type (e.g. sparse matrix)
`y`	passed directly to train caret; a numeric or factor vector containing the outcome for each sample.
`training.list;`	a list describing a list of train caret values to run. Should be a list of objects generated by get.caret.model.spec. Each should contain exactly two values, to be passed to train caret: method and tuning. If tuning is an integer, it will be passed to tuneLength. If tuning is a data frame, it will be passed to tuneGrid. If it is null, train's default values for tuneLength will apply. Otherwise an error is generated.