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.


Reference manual

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install.packages("LSE")

1.0.0 by Sergio Andrés Cabrera Miranda, 5 years ago


https://github.com/sergio05acm/LSE


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


Authors: Sergio Andrés Cabrera Miranda , Juan Gabriel Triana Laverde


Documentation:   PDF Manual  


GPL-3 license


Imports MASS, pracma


See at CRAN