klaR (version 0.6-15)

predict.meclight: Prediction of Minimal Error Classification

Description

Classify multivariate observations in conjunction with meclight and lda.

Usage

# S3 method for 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

Value

class

The estimated class (factor).

posterior

Posterior probabilities for the classes.

Details

Classify multivariate observations in conjunction with meclight and lda.

References

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

See Also

meclight

Examples

# NOT RUN {
data(iris)
meclight.obj <- meclight(Species ~ ., data = iris)
predict(meclight.obj, iris)
# }