MASS (version 7.3-0)

predict.lqs: Predict from an lqs Fit

Description

Predict from an resistant regression fitted by lqs.

Usage

## S3 method for class 'lqs':
predict(object, newdata, na.action = na.pass, \dots)

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 a

na.action

function determining what should be done with missing values in newdata. The default is to predict NA.

...

arguments to be passed from or to other methods.

Value

• A vector of predictions.

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 fit cannot be evaluated. If newdata is omitted and the na.action of the fit omitted cases, these will be omitted on the prediction.

See Also

lqs

Examples

set.seed(123)
fm <- lqs(stack.loss ~ ., data = stackloss, method = "S", nsamp = "exact")
predict(fm, stackloss)