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sprm (version 1.2.2)

predict.prmda: Predict method for models of class prmda

Description

Predictions for a PRM-DA classification model.

Usage

"predict"(object, newdata, ...)

Arguments

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

Value

predict.prmda returns a vector of the predicted classmembership.

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.

References

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

See Also

prmda, prmdaCV

Examples

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

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