mvdalab (version 1.7)

coef.mvdareg: Extract Information From a plsFit Model

Description

Functions to extract information from mvdalab objects.

Usage

# S3 method for mvdareg
coef(object, ncomp = object$ncomp, type = c("coefficients",
    "loadings", "weights", "y.loadings"), conf = .95, ...)

Value

coefficients

a named vector, or matrix, of coefficients.

loadings

a named vector, or matrix, of loadings.

weights

a named vector, or matrix, of weights.

y.loadings

a named vector, or matrix, of y.loadings.

Arguments

object

an mvdareg object, i.e. a plsFit.

ncomp

the number of components to include in the model (see below).

type

specify model parameters to return.

conf

for a bootstrapped model, the confidence level to use.

...

additional arguments. Currently ignored.

Author

Nelson Lee Afanador ()

Details

These are usually called through their generic functions coef and residuals, respectively. coef.mvdareg is used to extract the regression coefficients, loadings, or weights of a PLS model.

If comps is missing (or is NULL), all parameter estimates are returned.

See Also

coef, coefficients.boots, coefficients, loadings, loadings.boots, weights, weight.boots

Examples

data(Penta)
mod1 <- plsFit(log.RAI ~., scale = TRUE, data = Penta[, -1],
               ncomp = 2, validation = "loo")
coef(mod1, type = "coefficients")