Compositional (version 2.2)

Multivariate linear regression: Multivariate linear regression

Description

Multivariate linear regression.

Usage

multivreg(y, x, plot = TRUE, xnew = NULL)

Arguments

y

A matrix with the Eucldidean (continuous) data.

x

A matrix with the predictor variable(s), they have to be continuous.

plot

Should a plot appear or not?

xnew

If you have new data use it, otherwise leave it NULL.

Value

A list including:

Details

The classical multivariate linear regression model is obtained.

References

K.V. Mardia, J.T. Kent and J.M. Bibby (1979). Multivariate Analysis. Academic Press.

See Also

diri.reg, js.compreg, kl.compreg, ols.compreg, comp.reg

Examples

library(MASS)
x <- as.matrix(iris[, 1:2])
y <- as.matrix(iris[, 3:4])
multivreg(y, x, plot = TRUE)