predict.meclight function

Prediction of Minimal Error Classification

Classify multivariate observations in conjunction with meclight and lda.

## 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.

Returns

• class: The estimated class (factor).

• posterior: Posterior probabilities for the classes.

References

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

Author(s)

Karsten Luebke, karsten.luebke@fom.de

See Also

meclight

Examples

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