Renvlp (version 2.7)

u.sxenv: Select the dimension of sxenv

Description

This function outputs dimensions selected by Akaike information criterion (AIC), Bayesian information criterion (BIC) for the scaled envelope model in the predictor space.

Usage

u.sxenv(X, Y, R)

Arguments

X

Predictors. An n by p matrix, p is the number of predictors. The predictors can be univariate or multivariate, discrete or continuous.

Y

Multivariate responses. An n by r matrix, r is the number of responses and n is number of observations. The responses must be continuous variables.

R

The number of replications of the scales. A vector, the sum of all elements of R must be p.

Value

u.aic

Dimension of the scaled envelope subspace in the predictor space selected by AIC.

u.bic

Dimension of the scaled envelope subspace in the predictor space selected by BIC.

aic.seq

AIC value for dimension from 0 to p.

bic.seq

BIC value for dimension from 0 to p.

Examples

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

u <- u.sxenv(X, Y, R)
u
# }