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how to generate predicted value from the output of GeneralizedLinearModel.stepwise
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Hi there,
I am trying to use GeneralizedLinearModel.stepwise to predict some observation dataset (time series).
let's say, X is the matrix of my predictors, Y is the observation data
mdl = GeneralizedLinearModel.stepwise(X,Y,'constant','upper','linear','Distribution','poisson')
The model file, mdl, consist of some datasets and matrix (e.g. Residuals, Coefficients etc.), and I am wondering how to reconstruct the time series?
In the past I use glmfit, that provide an array (b), where I can produce the predicted value from the function glmval. (But I don't know how to produce the same under GeneralizedLinearModel.stepwise)
Thank you!!
Regards,
Calvin
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