model.matrix.gam {mgcv} | R Documentation |

## Extract model matrix from GAM fit

### Description

Obtains the model matrix from a fitted `gam`

object.

### Usage

```
## S3 method for class 'gam'
model.matrix(object, ...)
```

### Arguments

`object` |
fitted model object of class |

`...` |
other arguments, passed to |

### Details

Calls `predict.gam`

with no `newdata`

argument and
`type="lpmatrix"`

in order to obtain the model matrix of `object`

.

### Value

A model matrix.

### Author(s)

Simon N. Wood simon.wood@r-project.org

### References

Wood S.N. (2006b) Generalized Additive Models: An Introduction with R. Chapman and Hall/CRC Press.

### See Also

### Examples

```
require(mgcv)
n <- 15
x <- runif(n)
y <- sin(x*2*pi) + rnorm(n)*.2
mod <- gam(y~s(x,bs="cc",k=6),knots=list(x=seq(0,1,length=6)))
model.matrix(mod)
```

[Package

*mgcv*version 1.9-1 Index]