# plot.ppr

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

Plot the ridge functions for a projection pursuit regression
(`ppr`

) fit.

- Keywords
- hplot

##### Usage

```
# S3 method for ppr
plot(x, ask, type = "o", cex = 1/2,
main = quote(bquote(
"term"[.(i)]*":" ~~ hat(beta[.(i)]) == .(bet.i))),
xlab = quote(bquote(bold(alpha)[.(i)]^T * bold(x))),
ylab = "", …)
```

##### Arguments

- x
an R object 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 (see

`plot.default`

) to draw.- cex
plot symbol expansion factor (

*relative*to`par("cex")`

).- main, xlab, ylab
axis annotations, see also

`title`

. Can be an expression (depending on`i`

and`bet.i`

), as by default which will be`eval()`

uated.- …
further graphical parameters, passed to

`plot()`

.

##### 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)`

```
# NOT RUN {
require(graphics)
rock1 <- within(rock, { area1 <- area/10000; peri1 <- peri/10000 })
par(mfrow = c(3,2)) # maybe: , pty = "s"
rock.ppr <- ppr(log(perm) ~ area1 + peri1 + shape,
data = rock1, 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 3.5.0, License: Part of R 3.5.0*

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