object
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an object inheriting from class lmList , representing
a list of lm objects with a common model.
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newdata
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an optional data frame to be used for obtaining the
predictions. All variables used in the object model formula
must be present in the data frame. If missing, the same data frame
used to produce object is used.
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subset
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an optional character or integer vector naming the
lm components of object from which the predictions
are to be extracted. Default is NULL , in which case all
components are used.
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asList
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an optional logical value. If TRUE , the returned
object is a list with the predictions split by groups; else the
returned value is a vector. Defaults to FALSE .
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pool
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an optional logical value indicating whether a pooled
estimate of the residual standard error should be used. Default is
attr(object, "pool") .
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se.fit
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an optional logical value indicating whether pointwise
standard errors should be computed along with the
predictions. Default is FALSE .
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