how to generate predicted value from the output of Generalize​dLinearMod​el.stepwis​e

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