Package: LSE
Type: Package
Title: Constrained Least Squares and Generalized QR Factorization
Version: 1.0.0
Date: 2022-02-01
Author: Sergio Andrés Cabrera Miranda
        <https://orcid.org/0000-0002-8126-8521>, Juan Gabriel Triana
        Laverde <https://orcid.org/0000-0003-2991-6082>
Maintainer: Sergio Andrés Cabrera Miranda <sergio05acm@gmail.com>
Description: 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.
URL: https://github.com/sergio05acm/LSE
Imports: MASS, pracma
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.1
Repository: https://sergio05acm.r-universe.dev
Date/Publication: 2022-02-02 20:03:31 UTC
RemoteUrl: https://github.com/sergio05acm/lse
RemoteRef: HEAD
RemoteSha: 25b5ca1507f03ba5693e92fe259e0ff71e8743a6
RemoteSubdir: LSE
NeedsCompilation: no
Packaged: 2026-10-11 08:30:00 UTC; root