classify: Classification function
In gastonstat/DiscriMiner: Tools of the Trade for Discriminant Analysis

Description Usage Arguments Details Value Author(s) See Also Examples

Classify provided observations based on a given Discriminant object

1	classify(DA_object, newdata)

`DA_object`	discriminant analysis object
`newdata`	vector or matrix or data frame with variables for which their classes will be calculated

A DA_object is a discriminant analysis (DA) object obtained from a geometric predictive DA (class "geoda"), a linear DA (class "linda"), a quadratic DA (class "quada"), or a DISQUAL analysis (class "disqual")

A list with the following elements

`scores`	discriminant scores for each observation
`pred_class`	predicted class

Gaston Sanchez

geoDA, linDA, quaDA, plsDA, disqual

## Not run: 
  # load iris dataset
  data(iris)

  # linear discriminant analysis
  my_lin1 = linDA(iris[,1:4], iris$Species)

  # select a sample of 15 observations
  set.seed(111)
  obs = sample(1:nrow(iris), 15)
  some_data = iris[obs, 1:4]

  # classify some_data
  get_classes = classify(my_lin1, some_data)
  get_classes

  # compare the results against original class
  table(iris$Species[obs], get_classes$pred_class)
  
## End(Not run)