Description Usage Arguments Value Warning Examples

This is a method for the generic function `predict`

for class `"gl1ce"`

, typically produced from
`gl1ce()`

. When `newdata`

is missing, the
fitted values are extracted, otherwise returns *new* predictions.

1 2 3 |

`object` |
a fitted |

`newdata` |
a data frame containing the values at which predictions are required.
This argument can be missing, in which case predictions are made at
the same values used to compute the object.
Only those predictors referred to in the right side of the formula in
object need be present by name in |

`type` |
type of predictions, with choices "link" (the default), or
"response". The default produces predictions on the scale of the
additive predictors, and with |

`se.fit` |
logical indicating if standard errors should be returned
as well. |

`...` |
further potential arguments passed to methods. |

a vector of predictions.

`predict`

can produce incorrect predictions when the `newdata`

argument is used if the formula in `object`

involves
data-dependent transformations, such as `poly(Age, 3)`

or `sqrt(Age - min(Age))`

.

1 2 3 4 5 6 7 8 9 10 11 12 | ```
## start with
example(gl1ce)
predict(gl1c.E, new = esoph[1:7,])# type 'link'
predict(gl1c.E, new = esoph[1:7,], type = "response")
## identities / consistency checks :
stopifnot(predict(gl1c.E, type = "response") == fitted(gl1c.E),
all.equal(predict(gl1c.E)[1:7],
as.vector(predict(gl1c.E, new = esoph[1:7,]))),
all.equal(fitted(gl1c.E)[1:7],
as.vector(predict(gl1c.E, new = esoph[1:7,], type = "response")))
)
``` |

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