The response variable and primary covariate in `formula(object)`

are used to construct the linear model formula. This formula
and the `groupedData`

object are passed as the `object`

and
`data`

arguments to `lmList.formula`

, together with any other
additional arguments in the function call. See the documentation on
`lmList.formula`

for a description of that function.

```
# S3 method for groupedData
lmList(object, data, level, subset, na.action = na.fail,
pool = TRUE, warn.lm = TRUE)
```

object

a data frame inheriting from class `"groupedData"`

.

data

this argument is included for consistency with the generic function. It is ignored in this method function.

level

an optional integer specifying the level of grouping to be used when multiple nested levels of grouping are present.

subset

an optional expression indicating which subset of the rows of
`data`

should be used in the fit. This can be a logical
vector, or a numeric vector indicating which observation numbers are
to be included, or a character vector of the row names to be
included. All observations are included by default.

na.action

a function that indicates what should happen when the
data contain `NA`

s. The default action (`na.fail`

) causes
`lmList`

to print an error message and terminate if there are any
incomplete observations.

a list of `lm`

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 `lmList`

object.

```
# NOT RUN {
fm1 <- lmList(Orthodont)
summary(fm1)
# }
```

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