Description Usage Arguments Details Value Author(s) References See Also Examples

Solves the least squares problem using Householder forward triangulation with column interchanges. It is an R interface to the HFTI function that is described in Lawson and Hanson (1974, 1995). Its Fortran implementation is public domain and is available at http://www.netlib.org/lawson-hanson/.

1 | ```
hfti(a, b, tol = 1e-07)
``` |

`a` |
Design matrix. |

`b` |
Response vector or matrix. |

`tol` |
Tolerance for determining the pseudorank. |

Given matrix `a`

and vector `b`

, `hfti`

solves the least
squares problem:

*minimize || a x - b ||.*

`b` |
first |

`krank` |
psuedo-rank |

`rnorm` |
Euclidean norm of the residual vector. |

Yong Wang <yongwang@auckland.ac.nz>

Lawson and Hanson (1974, 1995). Solving least squares problems. Englewood Cliffs, N.J., Prentice-Hall.

1 2 3 |

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