# plot.ppr

##### Plot Ridge Functions for Projection Pursuit Regression Fit

Plot ridge functions for projection pursuit regression fit.

- Keywords
- hplot

##### Usage

```
## S3 method for class 'ppr':
plot(x, ask, type = "o", \dots)
```

##### Arguments

- x
- A fit of class
`"ppr"`

as produced by a call to`ppr`

. - ask
- the graphics parameter
`ask`

: see`par`

for details. If set to`TRUE`

will ask between the plot of each cross-section. - type
- the type of line to draw
- ...
- further graphical parameters

##### Value

- None

##### Side Effects

A series of plots are drawn on the current graphical device, one for each term in the fit.

##### See Also

##### Examples

`library(stats)`

```
require(graphics)
with(rock, {
area1 <- area/10000; peri1 <- peri/10000
par(mfrow = c(3,2)) # maybe: , pty = "s")
rock.ppr <- ppr(log(perm) ~ area1 + peri1 + shape,
data = rock, nterms = 2, max.terms = 5)
plot(rock.ppr, main = "ppr(log(perm)~ ., nterms=2, max.terms=5)")
plot(update(rock.ppr, bass = 5), main = "update(..., bass = 5)")
plot(update(rock.ppr, sm.method = "gcv", gcvpen = 2),
main = "update(..., sm.method="gcv", gcvpen=2)")
})
```

*Documentation reproduced from package stats, version 3.3, License: Part of R 3.3*

### Community examples

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