wine


These data are the results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. 
The analysis determined the quantities of 13 constituents found in each of the three types of wines. 


datasets

Discriminant analysis and data clustering methods for high
dimensional data, based on the assumption that high-dimensional data live in
different subspaces with low dimensionality proposing a new parametrization of
the Gaussian mixture model which combines the ideas of dimension reduction and
constraints on the model.

Laurent Berge

HDclassif

High Dimensional Supervised Classification and Clustering

wine function

A data frame with 178 observations on the following 14 variables :
  <dl> </dl> 

Format

This dataset is from the UCI machine learning repository, provided here : <a href="http://archive.ics.uci.edu/ml/datasets/Wine">http://archive.ics.uci.edu/ml/datasets/Wine</a>.

Source

This dataset is from the UCI machine learning repository, provided here : <a href = 'http://archive.ics.uci.edu/ml/datasets/Wine'>http://archive.ics.uci.edu/ml/datasets/Wine</a>.

wine: Wine dataset

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