R: Prediction of Minimal Error Classification

predict.meclight {klaR} | R Documentation

## Prediction of Minimal Error Classification

### Description

Classify multivariate observations in conjunction with `meclight` and `lda`.

### Usage

    ## S3 method for class 'meclight'
    predict(object, newdata,...)

### Arguments

`object` | Object of class `meclight`.
`newdata` | Data frame of cases to be classified or, if object has a formula, a data frame with columns of the same names as the variables used. A vector will be interpreted as a row vector.
`...` | currently ignored

### Details

Classify multivariate observations in conjunction with `meclight` and `lda`.

### Value

`class` | The estimated class (`factor`).
`posterior` | Posterior probabilities for the classes.

### Author(s)

Karsten Luebke, karsten.luebke@fom.de

### References

Roehl, M.C., Weihs, C., and Theis, W. (2002): Direct Minimization in Multivariate Classification. Computational Statistics, 17, 29-46.

### See Also

`meclight`

### Examples

    data(iris)
    meclight.obj <- meclight(Species ~ ., data = iris)
    predict(meclight.obj, iris)

[Package klaR version 0.6-12 Index]