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.
Usage
lmList(object, data, level, subset, na.action, pool)
## S3 method for class 'lmList':
update(object, formula., \dots, evaluate = TRUE)
## S3 method for class 'lmList':
print(x, pool, \dots)
Arguments
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.
References
Pinheiro, J.C., and Bates, D.M. (2000) "Mixed-Effects Models
in S and S-PLUS", Springer.