| d02cjc | Ordinary differential equation solver using a variable-order variable-step Adams method (Black Box) |
| e01bac | Interpolating function, cubic spline interpolant, one variable |
| e01bec | Interpolating function, monotonicity-preserving, piecewise cubic Hermite, one variable |
| e01dac | Interpolating function, bicubic spline interpolant, two variables |
| e02bac | Least squares curve cubic spline fit (including interpolation), one variable |
| e02bec | Least squares cubic spline curve fit, automatic knot placement, one variable |
| e02dcc | Least squares bicubic spline fit with automatic knot placement, two variables (rectangular grid) |
| e02ddc | Least squares bicubic spline fit with automatic knot placement, two variables (scattered data) |
| e04abc | Minimizes a function of one variable, using function values only |
| e04bbc | Minimizes a function of one variable, requires first derivatives |
| g01aac | Mean, variance, skewness, kurtosis, etc., one variable, from raw data |
| g02brc | Kendall and/or Spearman non-parametric rank correlation coefficients, allows variables and observations to be selectively disregarded |
| g02bxc | Product-moment correlation, unweighted/weighted correlation and covariance matrix, allows variables to be disregarded |
| g02dgc | Fits a general linear regression model to new dependent variable |