predict_dfm: Predictions from an estimated dynamic factor model.
In nowcastDFM: DFMs for Nowcasting

runs a dataset through a previously estimated DFM to obtain predictions for all missing values in the series.

1	predict_dfm(data, output_dfm, months_ahead = 3, lag = 0)

`data`	matrix of variables, size (n_obs, n_variables). Must include in 1st column a series of type date, called "date", all data already stationary.
`output_dfm`	list, the output of the `dfm()` function.
`months_ahead`	number of months ahead to forecast.
`lag`	number of lags for the kalman filter