| 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 and values from residual sums of squares |
| G04DAF
| Computes sum of squares for contrast between means |