MultiDOE This MATLAB/OCTAVE toolbox regroups many existing tools for generating sample points using many specific DOE techniques: Full factorial sampling Latin Hypercube Sampling Optimal Latin Hypercube sampling Improved Hypercube Sampling Random Sampling Many techniques proposed in this toolbox are based on the R software. More precisely, the library lhs is used. the IHS matlab's softwares proposed by John Burkardt. the LHS proposed by Budiman Minasny. NOTICE: sampling techniques based on the R software are only usable on a Unix OS. Features The MultiDOE toolbox are able to generate sampling sort the sample points using many techniques add points to an existing sampling (based on the LHS and IHS procedures of the R software) normalize/renormalize the sample points to be well defined in the specified design space call automatically the R software (on Unix/Linux/OSX systems only) compute scores (minimal distances, discrepancy...), see for instance the Franco's PhD thesis (2008)