Plot Method for MVR objects

plot.mvr plots predictions, coefficients, scores, loadings, biplots, correlation loadings or validation plots (RMSEP curves, etc.).

Usage

# S3 method for class 'mvr'
plot(
  x,
  plottype = c("prediction", "validation", "coefficients", "scores", "loadings",
    "biplot", "correlation"),
  ...
)

Arguments

x

an object of class mvr. The fitted model to plot.

plottype

character. What kind of plot to plot.

...

further arguments, sent to the underlying plot functions.

Value

plot.mvr returns whatever the underlying plot function returns.

Details

The function is simply a wrapper for the underlying plot functions used to make the selected plots. See predplot.mvr, validationplot, coefplot, scoreplot, loadingplot, biplot.mvr or corrplot for details. Note that all arguments except x and plottype must be named.

See also

mvr, predplot.mvr, validationplot, coefplot, scoreplot, loadingplot, biplot.mvr, corrplot

Author

Ron Wehrens and Bjørn-Helge Mevik

Examples

data(yarn)
nir.pcr <- pcr(density ~ NIR, ncomp = 9, data = yarn, validation = "CV")
if (FALSE) { # \dontrun{
plot(nir.pcr, ncomp = 5) # Plot of cross-validated predictions
plot(nir.pcr, "scores") # Score plot
plot(nir.pcr, "loadings", comps = 1:3) # The three first loadings
plot(nir.pcr, "coef", ncomp = 5) # Coefficients
plot(nir.pcr, "val") # RMSEP curves
plot(nir.pcr, "val", val.type = "MSEP", estimate = "CV") # CV MSEP
} # }