source: prdatasets/iris.m @ 101

%IRIS 150 objects with 4 features in 3 classes
%
%  A = IRIS
%
% Iris plants dataset by R.A.Fisher, 150 objects, 4 features, 3
% classes.
function x = iris;

prdatasets(mfilename,1,'http://prtools.org/prdatasets/iris.dat');
user.desc = 'Iris Plant database from UCI. A classic dataset in the pattern recognition literature.  The original dataset is a multiclass classification problem, introduced by R.A. Fisher, The use of multiple measurements in taxonomic problems. Ann Eugenics, 7:179--188, 1936.';
user.link = 'ftp://ftp.ics.uci.edu/pub/machine-learning-databases/iris/';
cl = {'Iris-setosa' 'Iris-versicolor' 'Iris-virginica'};
fl = {'sepal length' 'sepal width' 'petal length' 'petal width'};

% the fuzzy toolbox has a iris.dat file too, avoid it
pp = fileparts(which(mfilename));
a = load(fullfile(pp,'iris.dat'));
x = pr_dataset(a(:,1:(end-1)), cl(a(:,end)));
x = setfeatlab(x,fl);
x = setuser(x,user);
x = setname(x,'Iris');

return