predict.clmdu {lmap}

The function predict.clmdu makes predictions for a test/validation set based on a fitted cl restricted multidimensional unfolding model (clmdu with X)

Description

The function predict.clmdu makes predictions for a test/validation set based on a fitted cl restricted multidimensional unfolding model (clmdu with X)

Usage

## S3 method for class 'clmdu'
predict(object, newX, newY = NULL, ...)

Arguments

object

An clmdu object

newX

An N by P matrix with predictor variables for a test/validation set

newY

An N by R matrix with response variables for a test/validation set

...

additional arguments to be passed.

Value

This function returns an object of the class predclpca with components:

Yhat

Predicted values for the test set

devr

Estimated prediction deviance for separate responses

devtot

Estimated prediction deviance for all responses

Examples

## Not run: 
data(dataExample_clpca)
Y = as.matrix(dataExample_clmdu[ , 1:8])
X = as.matrix(dataExample_clmdu[ , 9:13])
newY = as.matrix(dataExample_clmdu[1:20 , 1:8])
newX = as.matrix(dataExample_clmdu[1:20 , 9:13])
# supervised
output = clmdu(Y = Y, X = X, S = 2)
preds = predict(output, newX = newX, newY = newY)

## End(Not run)