[R] predict.lm with missing data

[Roger Peng]

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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