Renvlp (version 2.7)

pred.sxenv: Estimation or prediction for sxenv

Description

Perform estimation or prediction under the scaled envelope model in the predictor space.

Usage

pred.sxenv(m, Xnew)

Arguments

m

A list containing estimators and other statistics inherited from stenv.

Xnew

The value of X with which to estimate or predict Y. A p dimensional vector.

Value

The output is a list that contains following components.

value

The fitted value or the predicted value evaluated at Xnew.

covMatrix.estm

The covariance matrix of the fitted value at Xnew.

SE.estm

The standard error of the fitted value at Xnew.

covMatrix.pred

The covariance matrix of the predicted value at Xnew.

SE.pred

The standard error of the predicted value at Xnew.

Details

This function evaluates the scaled envelope model in the predictor space at new value Xnew. It can perform estimation: find the fitted value when X = Xnew, or prediction: predict Y when X = Xnew. The covariance matrix and the standard errors are also provided.

Examples

# NOT RUN {
data(sales)
Y <- sales[, 1:3]
X <- sales[, 4:7]
R <- rep(1, 4)

m <- sxenv(X, Y, 2, R)

pred.res <- pred.sxenv(m, X[1, ])
pred.res

# }