Fits n-dimensional data by means of orthogonal nonlinear least-squares using Levenberg-Marquardt minimization, with a solver that exploits the block structure of the problem as 'ODRPACK' does, so that its cost grows linearly with the number of observations, 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: | 0.3 |
| Depends: | R (≥ 3.5.0) |
| Imports: | minpack.lm |
| Suggests: | rgl, knitr, rmarkdown |
| Published: | 2026-11-09 |
| 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 |
| Reference manual: | onls.html , onls.pdf |
| Vignettes: |
Orthogonal Nonlinear Least-Squares Regression with onls (source, R code) |
| Package source: | onls_0.3.tar.gz |
| Windows binaries: | r-devel: onls_0.2.zip, r-release: onls_0.2.zip, r-oldrel: onls_0.2.zip |
| macOS binaries: | r-release (arm64): onls_0.3.tgz, r-oldrel (arm64): onls_0.3.tgz, r-release (x86_64): onls_0.2.tgz, r-oldrel (x86_64): onls_0.2.tgz |
| Old sources: | onls archive |
| Reverse suggests: | ggpmisc |
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