This function plots the squared residuals for the specified subset of the
observed variables from an mkinfit object. In addition, one or more dashed
line(s) show the fitted error model. A combined plot of the fitted model
and this error model plot can be obtained with `plot.mkinfit`

using the argument `show_errplot = TRUE`

.

```
mkinerrplot(
object,
obs_vars = names(object$mkinmod$map),
xlim = c(0, 1.1 * max(object$data$predicted)),
xlab = "Predicted",
ylab = "Squared residual",
maxy = "auto",
legend = TRUE,
lpos = "topright",
col_obs = "auto",
pch_obs = "auto",
frame = TRUE,
...
)
```

## Arguments

- object
A fit represented in an `mkinfit`

object.

- obs_vars
A character vector of names of the observed variables for
which residuals should be plotted. Defaults to all observed variables in
the model

- xlim
plot range in x direction.

- xlab
Label for the x axis.

- ylab
Label for the y axis.

- maxy
Maximum value of the residuals. This is used for the scaling of
the y axis and defaults to "auto".

- legend
Should a legend be plotted?

- lpos
Where should the legend be placed? Default is "topright". Will
be passed on to `legend`

.

- col_obs
Colors for the observed variables.

- pch_obs
Symbols to be used for the observed variables.

- frame
Should a frame be drawn around the plots?

- ...
further arguments passed to `plot`

.

## Value

Nothing is returned by this function, as it is called for its side
effect, namely to produce a plot.

## See also

`mkinplot`

, for a way to plot the data and the fitted
lines of the mkinfit object.

## Examples

```
# \dontrun{
model <- mkinmod(parent = mkinsub("SFO", "m1"), m1 = mkinsub("SFO"))
#> Temporary DLL for differentials generated and loaded
fit <- mkinfit(model, FOCUS_2006_D, error_model = "tc", quiet = TRUE)
#> Warning: Observations with value of zero were removed from the data
mkinerrplot(fit)
# }
```