plot.mvr | R Documentation |

`plot.mvr`

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

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

`x` |
an object of class |

`plottype` |
character. What kind of plot to plot. |

`...` |
further arguments, sent to the underlying plot functions. |

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.

`plot.mvr`

returns whatever the underlying plot function
returns.

Ron Wehrens and Bjørn-Helge Mevik

`mvr`

, `predplot.mvr`

,
`validationplot`

, `coefplot`

,
`scoreplot`

, `loadingplot`

,
`biplot.mvr`

, `corrplot`

```
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
## End(Not run)
```

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