predict.lqs

From MASS v7.3-0 by Brian Ripley

Predict from an lqs Fit

Predict from an resistant regression fitted by lqs.

Keywords: models

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.

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.

Value

A vector of predictions.

Examples

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

Documentation reproduced from package MASS, version 7.3-0, License: GPL-2 | GPL-3

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