# predict.gl1ce

##### Prediction Method for a `gl1ce' Object

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.

- Keywords
- models

##### Usage

```
# S3 method for gl1ce
predict(object, newdata, type=c("link", "response"),
se.fit = FALSE, …)
```

##### Arguments

- object
a fitted

`gl1ce`

object.- 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

`newdata`

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

`newdata`

missing,`predict()`

is simply an extractor function for this component of a`gl1ce`

object. If "response" is selected, the predictions are on the scale of the response, and are monotone transformations of the additive predictors, using the inverse link function.- se.fit
logical indicating if standard errors should be returned as well.

**Not yet available**.- …
further potential arguments passed to methods.

##### Value

a vector of predictions.

##### Warning

`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))`

.

##### Examples

```
# NOT RUN {
## 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")))
)
# }
```

*Documentation reproduced from package lasso2, version 1.2-21.1, License: GPL (>= 2)*