% The iris data set.
%
% Data matrix (150 x 4) 
%
% Objects: (3 types)
%     1 -  50 Iris setosa
%    51 - 100 Iris versicolour
%   101 - 150 Iris virginica
%
% Variables:
%   1: Sepal length
%   2: Sepal width
%   3: Petal length
%   4: Petal width
%
% The data set is found in:
% Mardia et al. (1979), Multivariate Analysis, table 1.2.2
% Fisher (1936), Ann. Eugen., The use of multiple measurement in taxonomic problems 
%
% $Id: iris.txt,v 1.1 2003/01/30 11:58:41 fnielsen Exp $

 5.1 3.5 1.4 0.2 
 4.9 3.0 1.4 0.2 
 4.7 3.2 1.3 0.2 
 4.6 3.1 1.5 0.2 
 5.0 3.6 1.4 0.2 
 5.4 3.9 1.7 0.4 
 4.6 3.4 1.4 0.3 
 5.0 3.4 1.5 0.2 
 4.4 2.9 1.4 0.2 
 4.9 3.1 1.5 0.1 
 5.4 3.7 1.5 0.2 
 4.8 3.4 1.6 0.2 
 4.8 3.0 1.4 0.1 
 4.3 3.0 1.1 0.1 
 5.8 4.0 1.2 0.2 
 5.7 4.4 1.5 0.4 
 5.4 3.9 1.3 0.4 
 5.1 3.5 1.4 0.3 
 5.7 3.8 1.7 0.3 
 5.1 3.8 1.5 0.3 
 5.4 3.4 1.7 0.2 
 5.1 3.7 1.5 0.4 
 4.6 3.6 1.0 0.2 
 5.1 3.3 1.7 0.5 
 4.8 3.4 1.9 0.2 
 5.0 3.0 1.6 0.2 
 5.0 3.4 1.6 0.4 
 5.2 3.5 1.5 0.2 
 5.2 3.4 1.4 0.2 
 4.7 3.2 1.6 0.2 
 4.8 3.1 1.6 0.2 
 5.4 3.4 1.5 0.4 
 5.2 4.1 1.5 0.1 
 5.5 4.2 1.4 0.2 
 4.9 3.1 1.5 0.2 
 5.0 3.2 1.2 0.2 
 5.5 3.5 1.3 0.2 
 4.9 3.6 1.4 0.1 
 4.4 3.0 1.3 0.2 
 5.1 3.4 1.5 0.2 
 5.0 3.5 1.3 0.3 
 4.5 2.3 1.3 0.3 
 4.4 3.2 1.3 0.2 
 5.0 3.5 1.6 0.6 
 5.1 3.8 1.9 0.4 
 4.8 3.0 1.4 0.3 
 5.1 3.8 1.6 0.2 
 4.6 3.2 1.4 0.2 
 5.3 3.7 1.5 0.2 
 5.0 3.3 1.4 0.2 
 7.0 3.2 4.7 1.4 
 6.4 3.2 4.5 1.5 
 6.9 3.1 4.9 1.5 
 5.5 2.3 4.0 1.3 
 6.5 2.8 4.6 1.5 
 5.7 2.8 4.5 1.3 
 6.3 3.3 4.7 1.6 
 4.9 2.4 3.3 1.0 
 6.6 2.9 4.6 1.3 
 5.2 2.7 3.9 1.4 
 5.0 2.0 3.5 1.0 
 5.9 3.0 4.2 1.5 
 6.0 2.2 4.0 1.0 
 6.1 2.9 4.7 1.4 
 5.6 2.9 3.6 1.3 
 6.7 3.1 4.4 1.4 
 5.6 3.0 4.5 1.5 
 5.8 2.7 4.1 1.0 
 6.2 2.2 4.5 1.5 
 5.6 2.5 3.9 1.1 
 5.9 3.2 4.8 1.8 
 6.1 2.8 4.0 1.3 
 6.3 2.5 4.9 1.5 
 6.1 2.8 4.7 1.2 
 6.4 2.9 4.3 1.3 
 6.6 3.0 4.4 1.4 
 6.8 2.8 4.8 1.4 
 6.7 3.0 5.0 1.7 
 6.0 2.9 4.5 1.5 
 5.7 2.6 3.5 1.0 
 5.5 2.4 3.8 1.1 
 5.5 2.4 3.7 1.0 
 5.8 2.7 3.9 1.2 
 6.0 2.7 5.1 1.6 
 5.4 3.0 4.5 1.5 
 6.0 3.4 4.5 1.6 
 6.7 3.1 4.7 1.5 
 6.3 2.3 4.4 1.3 
 5.6 3.0 4.1 1.3 
 5.5 2.5 4.0 1.3 
 5.5 2.6 4.4 1.2 
 6.1 3.0 4.6 1.4 
 5.8 2.6 4.0 1.2 
 5.0 2.3 3.3 1.0 
 5.6 2.7 4.2 1.3 
 5.7 3.0 4.2 1.2 
 5.7 2.9 4.2 1.3 
 6.2 2.9 4.3 1.3 
 5.1 2.5 3.0 1.1 
 5.7 2.8 4.1 1.3 
 6.3 3.3 6.0 2.5 
 5.8 2.7 5.1 1.9 
 7.1 3.0 5.9 2.1 
 6.3 2.9 5.6 1.8 
 6.5 3.0 5.8 2.2 
 7.6 3.0 6.6 2.1 
 4.9 2.5 4.5 1.7 
 7.3 2.9 6.3 1.8 
 6.7 2.5 5.8 1.8 
 7.2 3.6 6.1 2.5 
 6.5 3.2 5.1 2.0 
 6.4 2.7 5.3 1.9 
 6.8 3.0 5.5 2.1 
 5.7 2.5 5.0 2.0 
 5.8 2.8 5.1 2.4 
 6.4 3.2 5.3 2.3 
 6.5 3.0 5.5 1.8 
 7.7 3.8 6.7 2.2 
 7.7 2.6 6.9 2.3 
 6.0 2.2 5.0 1.5 
 6.9 3.2 5.7 2.3 
 5.6 2.8 4.9 2.0 
 7.7 2.8 6.7 2.0 
 6.3 2.7 4.9 1.8 
 6.7 3.3 5.7 2.1 
 7.2 3.2 6.0 1.8 
 6.2 2.8 4.8 1.8 
 6.1 3.0 4.9 1.8 
 6.4 2.8 5.6 2.1 
 7.2 3.0 5.8 1.6 
 7.4 2.8 6.1 1.9 
 7.9 3.8 6.4 2.0 
 6.4 2.8 5.6 2.2 
 6.3 2.8 5.1 1.5 
 6.1 2.6 5.6 1.4 
 7.7 3.0 6.1 2.3 
 6.3 3.4 5.6 2.4 
 6.4 3.1 5.5 1.8 
 6.0 3.0 4.8 1.8 
 6.9 3.1 5.4 2.1 
 6.7 3.1 5.6 2.4 
 6.9 3.1 5.1 2.3 
 5.8 2.7 5.1 1.9 
 6.8 3.2 5.9 2.3 
 6.7 3.3 5.7 2.5 
 6.7 3.0 5.2 2.3 
 6.3 2.5 5.0 1.9 
 6.5 3.0 5.2 2.0 
 6.2 3.4 5.4 2.3 
 5.9 3.0 5.1 1.8 
