LSE: Constrained Least Squares and Generalized QR Factorization

The solution of equality constrained least squares problem (LSE) is given through four analytics methods (Generalized QR Factorization, Lagrange Multipliers, Direct Elimination and Null Space method). We expose the orthogonal decomposition called Generalized QR Factorization (GQR) and also RQ factorization. Finally some codes for the solution of LSE applied in quaternions.

Getting started

Package details

AuthorSergio Andrés Cabrera Miranda <>, Juan Gabriel Triana Laverde <>
MaintainerSergio Andrés Cabrera Miranda <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the LSE package in your browser

Any scripts or data that you put into this service are public.

LSE documentation built on Feb. 2, 2022, 5:07 p.m.