If the grouping factor corresponding to object is included
in newdata, the data frame is partitioned according to the
grouping factor levels; else, newdata is repeated for all
lm components. The predictions and, optionally, the standard
errors for the predictions, are obtained for each lm
component of object, using the corresponding element of the
partitioned newdata, and arranged into a list with as many
components as object, or combined into a single vector or data
frame (if se.fit=TRUE).
Usage
## S3 method for class 'lmList':
predict(object, newdata, subset, pool, asList, se.fit, \dots)
Arguments
Value
a list with components given by the predictions (and, optionally, the
standard errors for the predictions) from each lm
component of object, a vector with the predictions from all
lm components of object, or a data frame with columns
given by the predictions and their corresponding standard errors.