#####hahaha Copyright (c) 2008 Florent D'halluin , Sylvain Calinon, LASA Lab, EPFL, CH-1015 Lausanne, Switzerland, http://www.calinon.ch, http://lasa.epfl.chThe program is free for non-commercial academic use. Please acknowledge the authors in any academic publications that have made use of this code or part of it. Please use this BibTex reference:  @article{Calinon06SMC,  title="On Learning, Representing and Generalizing a Task in a Humanoid   Robot",  author="S. Calinon and F. Guenter and A. Billard",  journal="IEEE Transactions on Systems, Man and Cybernetics, Part B.   Special issue on robot learning by observation, demonstration and   imitation",  year="2007",  volume="37",  number="2",  pages="286--298"}##################### GMM regression   #####################To test the program, just do a 'make', then run the 'main_test' executable, which performs an EM learning to find the GMM parameters, and then do a regression on the data stored in data/test*.csv. The resulting parameters are stored in files *.dat and *.gmm that can then be plotted in Matlab/Octave using the plotall.m script in the 'matlab_src' folder.