lmList {nlme}  R Documentation 
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
.
lmList(object, data, level, subset, na.action = na.fail, pool = TRUE, warn.lm = TRUE) ## S3 method for class 'lmList' update(object, formula., ..., evaluate = TRUE) ## S3 method for class 'lmList' print(x, pool, ...)
object 
For 
formula 
(used in 
formula. 
Changes to the formula – see 
data 
a data frame in which to interpret the variables named in

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

na.action 
a function that indicates what should happen when the
data contain 
pool 
an optional logical value indicating whether a pooled estimate of the residual standard error should be used in calculations of standard deviations or standard errors for summaries. 
warn.lm 

x 
an object inheriting from class 
... 
some methods for this generic require additional arguments. None are used in this method. 
evaluate 
If 
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.
Pinheiro, J.C., and Bates, D.M. (2000) "MixedEffects Models in S and SPLUS", Springer.
lm
,
lme.lmList
,
plot.lmList
,
pooledSD
,
predict.lmList
,
residuals.lmList
,
summary.lmList
fm1 < lmList(distance ~ age  Subject, Orthodont) summary(fm1)