predict.sprmda: Predict method for models of class sprmda

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

Description

Predictions from SPRM-DA classification model.

Usage

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

Arguments

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

Details

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

Value

predict.sprmda 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

sprmda, sprmdaCV

Examples

data(iris)
data <- droplevels(subset(iris,iris$Species!="setosa"))
smod <- sprmda(Species~.,data, a=2, eta=0.5, class="lda")
table(data$Species, predict(smod))

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