Description Usage Arguments Details Value Author(s) References Examples

This code provides the solution of equality constrained least squares problem through Generalized QR Factorization. Require MASS package.

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`A` |
Design matrix, m rows and n columns. |

`C` |
Constraint matrix, p rows and n columns. |

`b` |
Response vector for A, Ax=b, m rows and 1 column. |

`d` |
Response vector for C, Cx=d, p rows and 1 column. |

This algorithm provides the solution of the equality constrained least squares problem through Generalized QR factorization. This algorithm requires the same number of columns for matrices A and C.

Numerical vector for a LSE problem.

Sergio Andrés Cabrera Miranda Statician sergio05acm@gmail.com

Anderson, E., Bai, Z., & Dongarra, J. (1992). Generalized QR factorization and its applications. Linear Algebra and its Applications, 162, 243-271.

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

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