Neural Network nonlinear autoregressive model

Doing one step forward within a `NLAR`

model

1 |

`object` |
fitted ‘nlar’ object |

`newdata` |
data from which to step forward |

`...` |
further arguments to be passed to and from other methods |

If in `object`

is encapsulated the `NLAR`

map, say, ```
F(X[t],
X[t-d], ..., X[t-(m-1)d])
```

, this function should return the value of `F`

(with already fitted parameters) applied to given new data, which can be a
single vector of length `m`

or a matrix with `m`

columns.

Computed value(s)

This is an internal function, and should not be called by the user

Antonio, Fabio Di Narzo

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