Fortran 95 codes by Karin Meyer: RRGIBBS does simple random regression analyses via Gibbs sampling, and PDMATRIX makes matrices positive definite.

Code for convex and monotone regression, by Mary C. Meyer.

By Wouter J. Denhaan.

Suite of programs to estimate (co)variance components or covariance functions, and the resulting genetic parameters, by Restricted Maximum Likelihood fitting an animal model, by K. Meyer.

Random numbers, distributions, and many more (dcflib, ranlib, ...)

In Fortran 77, by Ingo Ruczinski and Charles Kooperberg. Also incorporated into packages for R and S-PLUS.

Code for principal components, partitioning, clustering, discriminant analysis, multidimensional scaling, Kohonen self-organizing map, sorting, errors-in-variable regression, minimal spanning trees, and GMDH, by Fionn Murtagh.

Robust regression.

By E. Prescott.

Determines one-sided tolerance limits (in particular, A- and B-basis material property values) for regression models in the presence of between-batch variability. By Mark Vangel.