# nlsList

##### List of nls Objects with a Common Model

`Data`

is partitioned according to the levels of the grouping
factor defined in `model`

and individual `nls`

fits are
obtained for each `data`

partition, using the model defined in
`model`

.

- Keywords
- models

##### Usage

```
nlsList(model, data, start, control, level, subset, na.action, pool)
## S3 method for class 'nlsList':
update(object, model., \dots, evaluate = TRUE)
```

##### Value

a list of `nls`

objects with as many components as the number of
groups defined by the grouping factor. Generic functions such as
`coef`

, `fixed.effects`

, `lme`

, `pairs`

,
`plot`

, `predict`

, `random.effects`

, `summary`

,
and `update`

have methods that can be applied to an `nlsList`

object.

##### References

Pinheiro, J.C., and Bates, D.M. (2000), *Mixed-Effects Models
in S and S-PLUS*, Springer.

##### See Also

##### Examples

```
fm1 <- nlsList(uptake ~ SSasympOff(conc, Asym, lrc, c0),
data = CO2, start = c(Asym = 30, lrc = -4.5, c0 = 52))
summary(fm1)
```

*Documentation reproduced from package nlme, version 3.1-86, License: GPL (>=2)*

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