predict.groc: Predict Method for groc

In groc: Generalized Regression on Orthogonal Components

Description

Prediction for groc models. New responses or scores are predicted using a fitted model and a new matrix of observations.

Usage

## S3 method for class 'groc'
predict(object, newdata, ncomp = object$ncomp, na.action = na.pass, ...)

Arguments

object	a groc object. The fitted model
newdata	a data frame. The new data. If missing, the training data is used.
ncomp	vector of positive integers. The components to use in the prediction.
na.action	function determining what should be done with missing values in newdata. By default, nothing is done.
...	further arguments. Currently not used

Value

A three dimensional array of predicted response values is returned. The dimensions correspond to the observations, the response variables and the model sizes, respectively.

Author(s)

Martin Bilodeau ([e-mail]) and Pierre Lafaye de Micheaux ([e-mail])

References

Martin Bilodeau, Pierre Lafaye de Micheaux, Smail Mahdi (2015), The R Package groc for Generalized Regression on Orthogonal Components, Journal of Statistical Software, 65(1), 1-29,
https://www.jstatsoft.org/v65/i01/

See Also

plot.groc

Examples

data("wood",package="robustbase")
out <- groc(y ~ x1+x2+x3+x4+x5, ncomp=1, data=wood,D=corrob, method="lts")
predict(out)

newdata<- data.frame(x1= 0.5, x2=0.1, x3=0.4, x4=0.5, x5=0.8)
predict(out,newdata)

groc documentation built on Dec. 18, 2020, 9:07 a.m.