Predict from an lqs Fit

Usage

predict.lqs(object, newdata)

Arguments

object object inheriting from class lqs
newdata matrix or data frame of cases to be predicted or, if object has a formula, a data frame with columns of the same names as the variables used. A vector will be interpreted as a row vector. If newdata is missing, an attempt will be made to retrieve the data used to fit the lqs object.

Description

Predict from an resistant regression fitted by lqs.

Details

This function is a method for the generic function predict() for class lqs. It can be invoked by calling predict(x) for an object x of the appropriate class, or directly by calling predict.lqs(x) regardless of the class of the object.

Missing values in newdata are handled by returning NA if the linear discriminants cannot be evaluated. If newdata is omitted and the na.action of the fit omitted cases, these will be omitted on the prediction.

Value

A vector of predictions.

Author(s)

B.D. Ripley

See Also

lqs

Examples

data(stackloss)
.Random.seed <- 1:4
fm <- lqs(stack.loss ~ ., data=stackloss, method="S", nsamp="exact")
predict(fm, stackloss)

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