The Lawson-Hanson algorithm for non-negative least squares (NNLS)

An R interface to the Lawson-Hanson implementation of an algorithm for non-negative least squares (NNLS). Also allows the combination of non-negative and non-positive constraints.


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Reference manual

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install.packages("nnls")

1.4 by Katharine Mullen, 7 years ago


Browse source code at https://github.com/cran/nnls


Authors: Katharine M. Mullen and Ivo H. M. van Stokkum


Documentation:   PDF Manual  


Task views: Chemometrics and Computational Physics, Optimization and Mathematical Programming


GPL (>= 2) license



Imported by ADAPTS, Anthropometry, Cascade, FARDEEP, Patterns, TIMP, adamethods, alphastable, episode, erah, gpDDE, hNMF, hybridEnsemble, isotone, madrat, mboost, nmathresh, osd, powdR, rNMF, rcosmo, smacof, smartR, spant, spectralAnalysis, zetadiv.

Depended on by ALS, Libra, SuperLearner, archetypes, simest.

Suggested by CVXR.


See at CRAN