Orthogonal Nonlinear Least-Squares Regression [R package onls version 0.1-4]

Andrej-Nikolai Spiess

onls: Orthogonal Nonlinear Least-Squares Regression

Fits two-dimensional data by means of orthogonal nonlinear least-squares using Levenberg-Marquardt minimization and provides functionality for fit diagnostics and plotting. Delivers the same results as the 'ODRPACK' Fortran implementation described in Boggs et al. (1989) <doi:10.1145/76909.76913>, but is implemented in pure R.

Version: 0.1-4

Depends: R (≥ 2.13.0), minpack.lm

Published: 2025年09月01日

DOI: 10.32614/CRAN.package.onls

Author: Andrej-Nikolai Spiess [aut, cre]

Maintainer: Andrej-Nikolai Spiess <draspiess at gmail.com>

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

NeedsCompilation: no

Materials: NEWS

In views: Optimization

CRAN checks: onls results

Documentation:

Reference manual: onls.html , onls.pdf

Vignettes: Introduction (source, R code)

Downloads:

Package source: onls_0.1-4.tar.gz

Windows binaries: r-devel: onls_0.1-4.zip, r-release: onls_0.1-4.zip, r-oldrel: onls_0.1-4.zip

macOS binaries: r-release (arm64): onls_0.1-4.tgz, r-oldrel (arm64): onls_0.1-4.tgz, r-release (x86_64): onls_0.1-4.tgz, r-oldrel (x86_64): onls_0.1-4.tgz

Old sources: onls archive

Linking:

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