SnnsRObject$train and saves the result in the
current rsnns object. This function is used internally by the
models (e.g. mlp) for training. Unless you are not about to implement
a new model on the S3 layer you most probably don't want to use this function.train(object, ...)
## S3 method for class 'rsnns':
train(object, inputsTrain, targetsTrain, inputsTest, targetsTest,
serializeTrainedObject=TRUE, ...)SnnsRObject$traintrain.rsnns: an rsnns object, to which the results of training have been added.