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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