# lmList

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

Data is partitioned according to the levels of the grouping factor g and individual lm fits are obtained for each data partition, using the model defined in object.

Keywords
models
##### Usage
lmList(object, data, level, na.action, pool)
##### Arguments
object
either a linear formula object of the form y ~ x1+...+xn | g or a groupedData object. In the formula object, y represents the response, x1,...,xn the covariates, and g the groupi
data
a data frame in which to interpret the variables named in object.
level
an optional integer specifying the level of grouping to be used when multiple nested levels of grouping are present.
na.action
a function that indicates what should happen when the data contain NAs. The default action (na.fail) causes lmList to print an error message and terminate if there are any incomplete observations.
pool
an optional logical value that is preserved as an attribute of the returned value. This will be used as the default for pool in calculations of standard deviations or standard errors for summaries.
##### Value

• 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.

lm, lme.lmList.
library(nlme) data(Orthodont) fm1 <- lmList(distance ~ age | Subject, Orthodont) summary(fm1)