This is simply a wrapper for codeqq.gam().

```
# S3 method for pffr
qq(
object,
rep = 0,
level = 0.9,
s.rep = 10,
type = c("deviance", "pearson", "response"),
pch = ".",
rl.col = 2,
rep.col = "gray80",
...
)
```

object

a fitted `pffr`

-object

rep

How many replicate datasets to generate to simulate quantiles
of the residual distribution. `0`

results in an efficient
simulation free method for direct calculation, if this is possible for
the object family.

level

If simulation is used for the quantiles, then reference intervals can be provided for the QQ-plot, this specifies the level. 0 or less for no intervals, 1 or more to simply plot the QQ plot for each replicate generated.

s.rep

how many times to randomize uniform quantiles to data under direct computation.

type

what sort of residuals should be plotted? See
`residuals.gam`

.

pch

plot character to use. 19 is good.

rl.col

color for the reference line on the plot.

rep.col

color for reference bands or replicate reference plots.

...

extra graphics parameters to pass to plotting functions.