predict.prmda: Predict method for models of class prmda

In sprm: Sparse and Non-Sparse Partial Robust M Regression and Classification

Description

Predictions for a PRM-DA classification model.

Usage

## S3 method for class 'prmda'
predict(object, newdata, ...)

Arguments

object	object of class prmda.
newdata	optional data frame with new observations.
...	further arguments. Currently not used.

Details

If newdata is specified the PRM-DA classification model is used to predict the fitted values for this data set, otherwise the fitted values of the model are returned.

Value

predict.prmda returns a vector of the predicted classmembership.

Author(s)

Irene Hoffmann

References

Hoffmann, I., Filzmoser, P., Serneels, S., Varmuza, K., Sparse and robust PLS for binary classification.

See Also

prmda, prmdaCV

Examples

data(iris)
data <- droplevels(subset(iris,iris$Species!="setosa"))
mod <- prmda(Species~.,data, a=2, class="lda")
table(data$Species, predict(mod))

sprm documentation built on May 2, 2019, 9:57 a.m.