Over the last couple of years I have written a large number of R codes for matrix approximation, multidimensional scaling, and multivariate analysis. The general approach is to write a stand-alone R program and in addition an R driver that uses .C() to call a shared library, which is by itself a stand-alone C program. The main recent projects are C versions of the smacof MDS majorization (MM) method with extensions to Sammon mapping, Elastic Scaling, strain, fStress, rStress -- all written in both R and C, all with both metric and non-metric versions. The papers/manuals/vignettes, largely unpublished and often unfinished, are at https://jansweb.netlify.app/publication and the corresponding C, h, R, pdf, qmd, tex, bib files are at https://github.com/deleeuw?tab=repositories. I am not interested in transforming these papers/codes to full-fledged publications, but the current form they may be useful to some. Everything in the repositories is open source with a CC0 license, so it can be used (and modified) without attribution. On the other hand, all suggestions for improvement are welcome. ------------------------------------------------------------------ Jan de Leeuw, Distinguished Professor Emeritus, UCLA Statistics https://jansweb.netlify.app ******** https://github.com/deleeuw ------------------------------------------------------------------ Remember, no matter where you go, there you are. (Buckaroo Banzai) [[alternative HTML version deleted]]