predict.meclight: Prediction of Minimal Error Classification

In klaR: Classification and Visualization

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, [e-mail]

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)

klaR documentation built on March 31, 2023, 3:03 p.m.