C06DCF | Sum of a Chebyshev series at a set of points |

E04FCF | Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm using function values only (comprehensive) |

E04FYF | Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm using function values only (easy-to-use) |

E04GBF | Unconstrained minimum of a sum of squares, combined Gauss–Newton and quasi-Newton algorithm using first derivatives (comprehensive) |

E04GDF | Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm using first derivatives (comprehensive) |

E04GYF | Unconstrained minimum of a sum of squares, combined Gauss–Newton and quasi-Newton algorithm, using first derivatives (easy-to-use) |

E04GZF | Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm using first derivatives (easy-to-use) |

E04HEF | Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm, using second derivatives (comprehensive) |

E04HYF | Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm, using second derivatives (easy-to-use) |

E04USF | Minimum of a sum of squares, nonlinear constraints, sequential QP method, using function values and optionally first derivatives (comprehensive) |

E04YBF | Check user's routine for calculating Hessian of a sum of squares |

F01CTF | Sum or difference of two real matrices, optional scaling and transposition |

F01CWF | Sum or difference of two complex matrices, optional scaling and transposition |

F06EKF | Sum absolute values of real vector elements |

F06JKF | Sum absolute values of complex vector elements |

F16DLF | Sum elements of integer vector |

F16ELF | Sum elements of real vector |

F16GLF | Sum elements of complex vector |

G02BTF | Update a weighted sum of squares matrix with a new observation |

G02BUF | Computes a weighted sum of squares matrix |

G02BWF | Computes a correlation matrix from a sum of squares matrix |

G02BZF | Combines two sums of squares matrices, for use after G02BUF |

G02EAF | Computes residual sums of squares for all possible linear regressions for a set of independent variables |

G02ECF | Calculates ${R}^{2}$ and ${C}_{P}$ values from residual sums of squares |

G04DAF | Computes sum of squares for contrast between means |

© The Numerical Algorithms Group Ltd, Oxford UK. 2013