Try
data.lm <- lm(y ~ x, data = data, na.action = na.exclude)
predict(data.lm)
-roger
_______________________________
UCLA Department of Statistics
rpeng at stat.ucla.edu
http://www.stat.ucla.edu/~rpeng
On Tue, 3 Sep 2002, Vadim Ogranovich wrote:
> Dear R-Users,
>
> Say I have a data frame 'data' with missing values and I fit
> > data.lm <- lm(y~x, data=data, na.action=na.omit)
>
> Now I want to compute predictions for each observation of 'data'
(having NA
> where the data was missing).
>
> The straightforward predict(data.lm) is not good since it produces a vector
> that is shorter than the number of rows in data (because of the missings).
>
> Does anyone know how to do this?
>
> Thanks, Vadim
>
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