[R] Predict using SparseM.slm

[roger koenker]

If you are feeling altruistic you could write a predict method for
slm objects, it wouldn't be much work to adapt what is already
available and  follow the  predict.lm prototype.  On the other
hand if you are looking for something quick and dirty you can
always resort to

	newX %*% coef(slmobj)


url:    www.econ.uiuc.edu/~roger            Roger Koenker
email    rkoenker at uiuc.edu            Department of Economics
vox:     217-333-4558                University of Illinois
fax:       217-244-6678                Champaign, IL 61820


On Aug 1, 2007, at 4:42 PM, T. Balachander wrote:

> Hi,
>
> I am trying out the SparseM package and had the a
> question. The following piece of code works fine:
>
> ...
> fit = slm(model, data = trainData, weights = weight)
>
> ...
>
> But how do I use the fit object to predict the values
> on say a reserved testDataSet? In the regular lm
> function I would do something like this:
>
> predict.lm(fit,testDataSet)
>
> Thanks
> -Bala
>
>
>
>        
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