| CDA {fdm2id} | R Documentation |
Classification using Canonical Discriminant Analysis
Description
This function builds a classification model using Canonical Discriminant Analysis.
Usage
CDA(train, labels, tune = FALSE, ...)
Arguments
train |
The training set (description), as a |
labels |
Class labels of the training set ( |
tune |
If true, the function returns paramters instead of a classification model. |
... |
Other parameters. |
Value
The classification model, as an object of class glmnet.
See Also
plot.cda, predict.cda, cda-class
Examples
require (datasets)
data (iris)
CDA (iris [, -5], iris [, 5])
[Package fdm2id version 0.9.9 Index]