Takes a fitted `FDboost`

-object produced by `FDboost()`

and produces
predictions given a new set of values for the model covariates or the original
values used for the model fit. This is a wrapper
function for `predict.mboost()`

1 2 3 |

`object` |
a fitted |

`newdata` |
a named list or a data frame containing the values of the model
covariates at which predictions are required.
If this is not provided then predictions corresponding to the original data are returned.
If |

`which` |
a subset of base-learners to take into account for computing predictions or coefficients. If which is given (as an integer vector corresponding to base-learners) a list is returned. |

`toFDboost` |
logical, defaults to |

`...` |
additional arguments passed on to |

a matrix or list of predictions depending on values of unlist and which

`FDboost`

for the model fit
and `plotPredicted`

for a plot of the observed values and their predictions.

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