Computes class predictions for new data based on a given rrlda object.
Usage
## S3 method for class 'rrlda'
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, ...).
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.
Value
class
Class prediction for each observation.
posterior
Discriminant values.
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
providing 
.