# plot.mvr

From pls v2.7-2
by Bjrn-Helge Mevik

##### Plot Method for MVR objects

`plot.mvr`

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

- Keywords
- multivariate, hplot, regression

##### Usage

```
# S3 method for 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.

##### 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.

##### Value

`plot.mvr`

returns whatever the underlying plot function returns.

##### See Also

`mvr`

, `predplot.mvr`

,
`validationplot`

, `coefplot`

,
`scoreplot`

, `loadingplot`

,
`biplot.mvr`

, `corrplot`

##### Examples

```
# NOT RUN {
data(yarn)
nir.pcr <- pcr(density ~ NIR, ncomp = 9, data = yarn, validation = "CV")
# }
# NOT RUN {
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
# }
```

*Documentation reproduced from package pls, version 2.7-2, License: GPL-2*

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