rrlda (version 1.1)

predict.rrlda: Class Prediction for rrlda objects

Description

Computes class predictions for new data based on a given rrlda object.

Usage

"predict"(object, x, ...)

Arguments

object

An object of class "rrlda".

x

New data for which the classes are to predict

...

Argument used by generic function predict(object, x, ...).

Value

class

Class prediction for each observation.

posterior

Discriminant values.

Details

Based on the estimated inverse covariance matrix and the mean of each group (stored in object), discriminant values are computed. An observations is classified as group k, if the corresponding discriminant value is a minimum.

Examples

	data(iris)
	x <- iris[,1:4]
	rr <- rrlda(x, grouping=as.numeric(iris[,5]), lambda=0.2, hp=0.75) ## perform rrlda
	pred <- predict(rr, x) ## predict 
	table(as.numeric(pred$class), as.numeric(iris[,5])) ## show errors