predict.ptsr: Predict method for PTSR
In PTSR: Positive Time Series Regression

Predicted values based on ptsr object.

1 2	## S3 method for class 'ptsr' predict(object, newdata, nnew = 0, ...)

`object`	Object of class inheriting from `"ptsr"`
`newdata`	A matrix with new values for the regressors. If omitted and `"xreg"` is present in the model, the fitted values are returned. If the model does not include regressors, the functions will use the value of `nnew`.
`nnew`	number of out-of-sample forecasts required. If `newdata` is provided, `nnew` is ignored.
`...`	further arguments passed to or from other methods.

predict.ptsr produces predicted values, obtained by evaluating the regression function in the frame newdata.

If newdata is omitted the predictions are based on the data used for the fit.

For now, prediction intervals are not provided.

A list with the following arguments

`series`	The original time series yt.
`xreg`	The original regressors (if any).
`fitted.values`	The in-sample forecast given by μ_t.
`etat`	In-sample values of g(μ[t]).
`error`	The error term
`residuals`	The (in-sample) residuals, that is, the observed minus the predicted values.
`forecast`	The predicted values for yt.