Institute of Statistical Mathematics Software and Data Library.

Fits the parameters of physical models to (experimental) data using an Interactive Non-Linear Least Squares procedure. The code, by Mark M. Law and Jeremy M. Hutson, is designed to be highly modular.

CLUSPAC for cluster analysis, TSPAC for time-series segmentation, and IMPAC for segmenting digital images, by Stanley L. Sclove.

Solves unsymmetric equations, linear least squares, and damped least squares for a left-hand-side matrix that is large and sparse.

Solves the weighted orthogonal distance regression problem to find parameter estimates that minimize the sum of the squares of the weighted orthogonal distances between each observed data point and the curve described by a nonlinear equation. Includes...

Fortran 77 and RATFOR code to fit smoothing splines using generalized cross-validation.

Fortran subroutines for calculating smoothing splines for various kinds of data and geometries, with automatic knot selection.

Fortran 90 code by Michael Schulz and Manfred Mudelsee to estimate red-noise spectra directly from unevenly spaced time series, without requiring interpolation.

Program for canonical community ordination by [partial] [detrended] [canonical] correspondence analysis, principal components analysis and redundancy analysis. [Commercial]

Fits a mixture model of multivariate normal or t-distributions to a user supplied data set via the EM algorithm. By Geoff McLachlan.