cmf_krr_train: To build model
In conmolfields: Continuous molecular fields

To build model

1	cmf_krr_train(act_train_fname = "activity-train.txt", act_colnum = 2, sep = ",", kernels_train_fname = "ligands-kernels-train.RData", model_fname = "ligands-model.RData", ...)

`act_train_fname`	"activity-train.txt"
`act_colnum`	2
`sep`	","
`kernels_train_fname`	"ligands-kernels-train.RData"
`model_fname`	"ligands-model.RData"
`...`

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (act_train_fname = "activity-train.txt", act_colnum = 2, 
    sep = ",", kernels_train_fname = "ligands-kernels-train.RData", 
    model_fname = "ligands-model.RData", ...) 
{
    act <- read.table(act_train_fname, header = TRUE, sep = sep)
    y <- act[, act_colnum]
    load(kernels_train_fname)
    model <- cmf_krr_train_mem(y = y, kernels = kernels, ...)
    save(model, file = model_fname)
  }