biplot.mvr: Biplots of PLSR and PCR Models.

In pls: Partial Least Squares and Principal Component Regression

Biplots of PLSR and PCR Models.

Description

Biplot method for mvr objects.

Usage

## S3 method for class 'mvr'
biplot(
  x,
  comps = 1:2,
  which = c("x", "y", "scores", "loadings"),
  var.axes = FALSE,
  xlabs,
  ylabs,
  main,
  ...
)

Arguments

x	an mvr object.
comps	integer vector of length two. The components to plot.
which	character. Which matrices to plot. One of "x" (X scores and loadings), "y" (Y scores and loadings), "scores" (X and Y scores) and "loadings" (X and Y loadings).
var.axes	logical. If TRUE, the second set of points have arrows representing them.
xlabs	either a character vector of labels for the first set of points, or FALSE for no labels. If missing, the row names of the first matrix is used as labels.
ylabs	either a character vector of labels for the second set of points, or FALSE for no labels. If missing, the row names of the second matrix is used as labels.
main	character. Title of plot. If missing, a title is constructed by biplot.mvr.
...	Further arguments passed on to biplot.default.

Details

biplot.mvr can also be called through the mvr plot method by specifying plottype = "biplot".

Author(s)

Ron Wehrens and Bjørn-Helge Mevik

See Also

mvr, plot.mvr, biplot.default

Examples

data(oliveoil)
mod <- plsr(sensory ~ chemical, data = oliveoil)
## Not run: 
## These are equivalent
biplot(mod)
plot(mod, plottype = "biplot")

## The four combinations of x and y points:
par(mfrow = c(2,2))
biplot(mod, which = "x") # Default
biplot(mod, which = "y")
biplot(mod, which = "scores")
biplot(mod, which = "loadings")

## End(Not run)

pls documentation built on Nov. 18, 2023, 1:11 a.m.