predict.sda: Shrinkage Discriminant Analysis 3: Prediction Step
In sda: Shrinkage Discriminant Analysis and CAT Score Variable Selection

predict.sda performs class prediction.

1 2	## S3 method for class 'sda' predict(object, Xtest, verbose=TRUE, ...)

`object`	An `sda` fit object obtained from the function `sda`.
`Xtest`	A matrix containing the test data set. Note that the rows correspond to observations and the columns to variables.
`verbose`	Report shrinkage intensities (sda) and number of used features (predict.sda).
`...`	Additional arguments for generic predict.

predict.sda predicts class probabilities for each test sample and returns a list with two components:

`class`	a factor with the most probable class assignment for each test sample, and
`posterior`	a matrix containing the respective class posterior probabilities.

Miiika Ahdesm\"aki and Korbinian Strimmer (https://strimmerlab.github.io).