C02AKF 
All zeros of real cubic equation 
C02ALF 
All zeros of real quartic equation 
C02AMF 
All zeros of complex cubic equation 
C02ANF 
All zeros of complex quartic equation 
D01PAF 
Multidimensional quadrature over an nsimplex

D02AGF 
ODEs, boundary value problem, shooting and matching technique, allowing interior matching point, general parameters to be
determined

D02EJF 
ODEs, stiff IVP, BDF method, until function of solution is zero, intermediate output (simple driver) 
D02HAF 
ODEs, boundary value problem, shooting and matching, boundary values to be determined 
D02HBF 
ODEs, boundary value problem, shooting and matching, general parameters to be determined 
D02NBF 
Explicit ODEs, stiff IVP, full Jacobian (comprehensive) 
D02NCF 
Explicit ODEs, stiff IVP, banded Jacobian (comprehensive) 
D02NDF 
Explicit ODEs, stiff IVP, sparse Jacobian (comprehensive) 
D02NGF 
Implicit/algebraic ODEs, stiff IVP, full Jacobian (comprehensive) 
D02NHF 
Implicit/algebraic ODEs, stiff IVP, banded Jacobian (comprehensive) 
D02NJF 
Implicit/algebraic ODEs, stiff IVP, sparse Jacobian (comprehensive) 
D02NMF 
Explicit ODEs, stiff IVP (reverse communication, comprehensive) 
D02NNF 
Implicit/algebraic ODEs, stiff IVP (reverse communication, comprehensive) 
D02SAF 
ODEs, boundary value problem, shooting and matching technique, subject to extra algebraic equations, general parameters to
be determined

D02TKF 
ODEs, general nonlinear boundary value problem, collocation technique 
D03FAF 
Elliptic PDE, Helmholtz equation, threedimensional Cartesian coordinates 
D03NCF 
Finite difference solution of the Black–Scholes equations 
D03PCF 
General system of parabolic PDEs, method of lines, finite differences, one space variable 
D03PDF 
General system of parabolic PDEs, method of lines, Chebyshev C^{0} collocation, one space variable

D03PEF 
General system of firstorder PDEs, method of lines, Keller box discretisation, one space variable 
D03PFF 
General system of convectiondiffusion PDEs with source terms in conservative form, method of lines, upwind scheme using numerical
flux function based on Riemann solver, one space variable

D03PHF 
General system of parabolic PDEs, coupled DAEs, method of lines, finite differences, one space variable 
D03PJF 
General system of parabolic PDEs, coupled DAEs, method of lines, Chebyshev C^{0} collocation, one space variable

D03PKF 
General system of firstorder PDEs, coupled DAEs, method of lines, Keller box discretisation, one space variable 
D03PLF 
General system of convectiondiffusion PDEs with source terms in conservative form, coupled DAEs, method of lines, upwind
scheme using numerical flux function based on Riemann solver, one space variable

D03PPF 
General system of parabolic PDEs, coupled DAEs, method of lines, finite differences, remeshing, one space variable 
D03PRF 
General system of firstorder PDEs, coupled DAEs, method of lines, Keller box discretisation, remeshing, one space variable 
D03PSF 
General system of convectiondiffusion PDEs with source terms in conservative form, coupled DAEs, method of lines, upwind
scheme using numerical flux function based on Riemann solver, remeshing, one space variable

D05AAF 
Linear nonsingular Fredholm integral equation, second kind, split kernel 
D05ABF 
Linear nonsingular Fredholm integral equation, second kind, smooth kernel 
E02RAF 
Padé approximants 
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
(easytouse)

E04GBF 
Unconstrained minimum of a sum of squares, combined Gauss–Newton and quasiNewton 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 quasiNewton algorithm, using first derivatives (easytouse) 
E04GZF 
Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm using first derivatives (easytouse) 
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 (easytouse) 
E04NCF 
Convex QP problem or linearlyconstrained linear leastsquares problem (dense) 
E04UFF 
Minimum, function of several variables, sequential QP method, nonlinear constraints, using function values and optionally
first derivatives (reverse communication, comprehensive)

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

E04YCF 
Covariance matrix for nonlinear leastsquares problem (unconstrained) 
F01ABF 
Inverse of real symmetric positivedefinite matrix using iterative refinement 
F01ADF 
Inverse of real symmetric positivedefinite matrix 
F02ECF 
Selected eigenvalues and eigenvectors of real nonsymmetric matrix (Black Box) 
F02FJF 
Selected eigenvalues and eigenvectors of sparse symmetric eigenproblem (Black Box) 
F02GCF 
Selected eigenvalues and eigenvectors of complex nonsymmetric matrix (Black Box) 
F02WDF 
QR factorization, possibly followed by SVD

F02WUF 
SVD of real upper triangular matrix (Black Box) 
F02XUF 
SVD of complex upper triangular matrix (Black Box) 
F03AAF 
Determinant of real matrix (Black Box) 
F03ABF 
Determinant of real symmetric positivedefinite matrix (Black Box) 
F03ADF 
Determinant of complex matrix (Black Box) 
F03AEF 
LL^{T} factorization and determinant of real symmetric positivedefinite matrix

F03AFF 
LU factorization and determinant of real matrix

F04ABF 
Solution of real symmetric positivedefinite simultaneous linear equations with multiple righthand sides using iterative
refinement (Black Box)

F04AEF 
Solution of real simultaneous linear equations with multiple righthand sides using iterative refinement (Black Box) 
F04ASF 
Solution of real symmetric positivedefinite simultaneous linear equations, one righthand side using iterative refinement
(Black Box)

F04ATF 
Solution of real simultaneous linear equations, one righthand side using iterative refinement (Black Box) 
F04BAF 
Computes the solution and errorbound to a real system of linear equations 
F04BBF 
Computes the solution and errorbound to a real banded system of linear equations 
F04BDF 
Computes the solution and errorbound to a real symmetric positivedefinite system of linear equations 
F04BEF 
Computes the solution and errorbound to a real symmetric positivedefinite system of linear equations, packed storage 
F04BFF 
Computes the solution and errorbound to a real symmetric positivedefinite banded system of linear equations 
F04CAF 
Computes the solution and errorbound to a complex system of linear equations 
F04CBF 
Computes the solution and errorbound to a complex banded system of linear equations 
F04CDF 
Computes the solution and errorbound to a complex Hermitian positivedefinite system of linear equations 
F04CEF 
Computes the solution and errorbound to a complex Hermitian positivedefinite system of linear equations, packed storage 
F04CFF 
Computes the solution and errorbound to a complex Hermitian positivedefinite banded system of linear equations 
F04JGF 
Leastsquares (if rank =n) or minimal leastsquares (if rank <n) solution of m real equations in n unknowns, rank ≤n, m≥n 
F07AAF 
Computes the solution to a real system of linear equations 
F07ABF 
Uses the LU factorization to compute the solution, errorbound and condition estimate for a real system of linear equations

F07ANF 
Computes the solution to a complex system of linear equations 
F07APF 
Uses the LU factorization to compute the solution, errorbound and condition estimate for a complex system of linear equations

F07BAF 
Computes the solution to a real banded system of linear equations 
F07BBF 
Uses the LU factorization to compute the solution, errorbound and condition estimate for a real banded system of linear equations

F07BNF 
Computes the solution to a complex banded system of linear equations 
F07BPF 
Uses the LU factorization to compute the solution, errorbound and condition estimate for a complex banded system of linear equations

F07CBF 
Uses the LU factorization to compute the solution, errorbound and condition estimate for a real tridiagonal system of linear equations

F07CPF 
Uses the LU factorization to compute the solution, errorbound and condition estimate for a complex tridiagonal system of linear equations

F07FAF 
Computes the solution to a real symmetric positivedefinite system of linear equations 
F07FBF 
Uses the Cholesky factorization to compute the solution, errorbound and condition estimate for a real symmetric positivedefinite
system of linear equations

F07FNF 
Computes the solution to a complex Hermitian positivedefinite system of linear equations 
F07FPF 
Uses the Cholesky factorization to compute the solution, errorbound and condition estimate for a complex Hermitian positivedefinite
system of linear equations

F07GAF 
Computes the solution to a real symmetric positivedefinite system of linear equations, packed storage 
F07GBF 
Uses the Cholesky factorization to compute the solution, errorbound and condition estimate for a real symmetric positivedefinite
system of linear equations, packed storage

F07GNF 
Computes the solution to a complex Hermitian positivedefinite system of linear equations, packed storage 
F07GPF 
Uses the Cholesky factorization to compute the solution, errorbound and condition estimate for a complex Hermitian positivedefinite
system of linear equations, packed storage

F07HAF 
Computes the solution to a real symmetric positivedefinite banded system of linear equations 
F07HBF 
Uses the Cholesky factorization to compute the solution, errorbound and condition estimate for a real symmetric positivedefinite
banded system of linear equations

F07HNF 
Computes the solution to a complex Hermitian positivedefinite banded system of linear equations 
F07HPF 
Uses the Cholesky factorization to compute the solution, errorbound and condition estimate for a complex Hermitian positivedefinite
banded system of linear equations

F07JBF 
Uses the modified Cholesky factorization to compute the solution, errorbound and condition estimate for a real symmetric
positivedefinite tridiagonal system of linear equations

F07JPF 
Uses the modified Cholesky factorization to compute the solution, errorbound and condition estimate for a complex Hermitian
positivedefinite tridiagonal system of linear equations

F07MBF 
Uses the diagonal pivoting factorization to compute the solution to a real symmetric system of linear equations 
F07MPF 
Uses the diagonal pivoting factorization to compute the solution to a complex Hermitian system of linear equations 
F07NPF 
Uses the diagonal pivoting factorization to compute the solution to a complex symmetric system of linear equations 
F07PBF 
Uses the diagonal pivoting factorization to compute the solution to a real symmetric system of linear equations, packed storage 
F07PPF 
Uses the diagonal pivoting factorization to compute the solution to a complex Hermitian system of linear equations, packed
storage

F07QPF 
Uses the diagonal pivoting factorization to compute the solution to a complex symmetric system of linear equations, packed
storage

F08AAF 
Solves an overdetermined or underdetermined real linear system 
F08ANF 
Solves an overdetermined or underdetermined complex linear system 
F08BAF 
Computes the minimumnorm solution to a real linear leastsquares problem 
F08BFF 
QR factorization of real general rectangular matrix with column pivoting, using BLAS3

F08BNF 
Computes the minimumnorm solution to a complex linear leastsquares problem 
F08BTF 
QR factorization of complex general rectangular matrix with column pivoting, using BLAS3

F08FAF 
Computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix 
F08FBF 
Computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix 
F08FCF 
All eigenvalues and optionally all eigenvectors of real symmetric matrix (divideandconquer) 
F08FDF 
Computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix (Relatively Robust Representations) 
F08FGF 
Apply orthogonal transformation determined by F08FEF (DSYTRD) 
F08FNF 
Computes all eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix 
F08FPF 
Computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix 
F08FQF 
All eigenvalues and optionally all eigenvectors of complex Hermitian matrix (divideandconquer) 
F08FRF 
Computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix (Relatively Robust Representations) 
F08FUF 
Apply unitary transformation matrix determined by F08FSF (ZHETRD) 
F08GAF 
Computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix, packed storage 
F08GBF 
Computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix, packed storage 
F08GCF 
All eigenvalues and optionally all eigenvectors of real symmetric matrix, packed storage (divideandconquer) 
F08GNF 
Computes all eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix, packed storage 
F08GPF 
Computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix, packed storage 
F08GQF 
All eigenvalues and optionally all eigenvectors of complex Hermitian matrix, packed storage (divideandconquer) 
F08HAF 
Computes all eigenvalues and, optionally, eigenvectors of a real symmetric band matrix 
F08HBF 
Computes selected eigenvalues and, optionally, eigenvectors of a real symmetric band matrix 
F08HCF 
All eigenvalues and optionally all eigenvectors of real symmetric band matrix (divideandconquer) 
F08HNF 
Computes all eigenvalues and, optionally, eigenvectors of a complex Hermitian band matrix 
F08HPF 
Computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian band matrix 
F08HQF 
All eigenvalues and optionally all eigenvectors of complex Hermitian band matrix (divideandconquer) 
F08JAF 
Computes all eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix 
F08JBF 
Computes selected eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix 
F08JCF 
All eigenvalues and optionally all eigenvectors of real symmetric tridiagonal matrix (divideandconquer) 
F08JDF 
Computes selected eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix (Relatively Robust Representations) 
F08JGF 
All eigenvalues and eigenvectors of real symmetric positivedefinite tridiagonal matrix, reduced from real symmetric positivedefinite
matrix

F08JHF 
Computes all eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix or a matrix reduced to this
form (divideandconquer)

F08JLF 
Computes all eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix or a symmetric matrix reduced
to this form (Relatively Robust Representations)

F08JUF 
All eigenvalues and eigenvectors of real symmetric positivedefinite tridiagonal matrix, reduced from complex Hermitian positivedefinite
matrix

F08JVF 
Computes all eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix or a complex Hermitian matrix
reduced to this form (divideandconquer)

F08JYF 
Computes all eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix or a complex Hermitian matrix
reduced to this form (Relatively Robust Representations)

F08KAF 
Computes the minimumnorm solution to a real linear leastsquares problem using singular value decomposition 
F08KBF 
Computes the singular value decomposition of a real matrix, optionally computing the left and/or right singular vectors 
F08KCF 
Computes the minimumnorm solution to a real linear leastsquares problem using singular value decomposition (divideandconquer) 
F08KDF 
Computes the singular value decomposition of a real matrix, optionally computing the left and/or right singular vectors (divideandconquer) 
F08KFF 
Generate orthogonal transformation matrices from reduction to bidiagonal form determined by F08KEF (DGEBRD) 
F08KGF 
Apply orthogonal transformations from reduction to bidiagonal form determined by F08KEF (DGEBRD) 
F08KNF 
Computes the minimumnorm solution to a complex linear leastsquares problem using singular value decomposition 
F08KPF 
Computes the singular value decomposition of a complex matrix, optionally computing the left and/or right singular vectors 
F08KQF 
Computes the minimumnorm solution to a complex linear leastsquares problem using singular value decomposition (divideandconquer) 
F08KRF 
Computes the singular value decomposition of a complex matrix, optionally computing the left and/or right singular vectors
(divideandconquer)

F08KTF 
Generate unitary transformation matrices from reduction to bidiagonal form determined by F08KSF (ZGEBRD) 
F08KUF 
Apply unitary transformations from reduction to bidiagonal form determined by F08KSF (ZGEBRD) 
F08MDF 
Computes the singular value decomposition of a real bidiagonal matrix, optionally computing the singular vectors (divideandconquer) 
F08NAF 
Computes all eigenvalues and, optionally, left and/or right eigenvectors of a real nonsymmetric matrix 
F08NBF 
Computes all eigenvalues and, optionally, left and/or right eigenvectors of a real nonsymmetric matrix; also, optionally,
the balancing transformation, the reciprocal condition numbers for the eigenvalues and for the right eigenvectors

F08NFF 
Generate orthogonal transformation matrix from reduction to Hessenberg form determined by F08NEF (DGEHRD) 
F08NGF 
Apply orthogonal transformation matrix from reduction to Hessenberg form determined by F08NEF (DGEHRD) 
F08NNF 
Computes all eigenvalues and, optionally, left and/or right eigenvectors of a complex nonsymmetric matrix 
F08NPF 
Computes all eigenvalues and, optionally, left and/or right eigenvectors of a complex nonsymmetric matrix; also, optionally,
the balancing transformation, the reciprocal condition numbers for the eigenvalues and for the right eigenvectors

F08NTF 
Generate unitary transformation matrix from reduction to Hessenberg form determined by F08NSF (ZGEHRD) 
F08NUF 
Apply unitary transformation matrix from reduction to Hessenberg form determined by F08NSF (ZGEHRD) 
F08PAF 
Computes for real square nonsymmetric matrix, the eigenvalues, the real Schur form, and, optionally, the matrix of Schur vectors 
F08PBF 
Computes for real square nonsymmetric matrix, the eigenvalues, the real Schur form, and, optionally, the matrix of Schur vectors;
also, optionally, computes reciprocal condition numbers for selected eigenvalues

F08PNF 
Computes for complex square nonsymmetric matrix, the eigenvalues, the Schur form, and, optionally, the matrix of Schur vectors 
F08PPF 
Computes for real square nonsymmetric matrix, the eigenvalues, the Schur form, and, optionally, the matrix of Schur vectors;
also, optionally, computes reciprocal condition numbers for selected eigenvalues

F08SAF 
Computes all the eigenvalues, and optionally, the eigenvectors of a real generalized symmetricdefinite eigenproblem 
F08SBF 
Computes selected eigenvalues, and optionally, the eigenvectors of a real generalized symmetricdefinite eigenproblem 
F08SCF 
Computes all the eigenvalues, and optionally, the eigenvectors of a real generalized symmetricdefinite eigenproblem (divideandconquer) 
F08SNF 
Computes all the eigenvalues, and optionally, the eigenvectors of a complex generalized Hermitiandefinite eigenproblem 
F08SPF 
Computes selected eigenvalues, and optionally, the eigenvectors of a complex generalized Hermitiandefinite eigenproblem 
F08SQF 
Computes all the eigenvalues, and optionally, the eigenvectors of a complex generalized Hermitiandefinite eigenproblem (divideandconquer) 
F08UAF 
Computes all the eigenvalues, and optionally, the eigenvectors of a real banded generalized symmetricdefinite eigenproblem 
F08UBF 
Computes selected eigenvalues, and optionally, the eigenvectors of a real banded generalized symmetricdefinite eigenproblem 
F08UCF 
Computes all the eigenvalues, and optionally, the eigenvectors of a real banded generalized symmetricdefinite eigenproblem
(divideandconquer)

F08UNF 
Computes all the eigenvalues, and optionally, the eigenvectors of a complex banded generalized Hermitiandefinite eigenproblem 
F08UPF 
Computes selected eigenvalues, and optionally, the eigenvectors of a complex banded generalized Hermitiandefinite eigenproblem 
F08UQF 
Computes all the eigenvalues, and optionally, the eigenvectors of a complex banded generalized Hermitiandefinite eigenproblem
(divideandconquer)

F08WAF 
Computes, for a real nonsymmetric matrix pair, the generalized eigenvalues, and optionally, the left and/or right generalized
eigenvectors

F08WBF 
Computes, for a real nonsymmetric matrix pair, the generalized eigenvalues, and optionally, the left and/or right generalized
eigenvectors; also, optionally, the balancing transformation, the reciprocal condition numbers for the eigenvalues and for
the right eigenvectors

F08WNF 
Computes, for a complex nonsymmetric matrix pair, the generalized eigenvalues, and optionally, the left and/or right generalized
eigenvectors

F08WPF 
Computes, for a complex nonsymmetric matrix pair, the generalized eigenvalues, and optionally, the left and/or right generalized
eigenvectors; also, optionally, the balancing transformation, the reciprocal condition numbers for the eigenvalues and for
the right eigenvectors

F08XAF 
Computes, for a real nonsymmetric matrix pair, the generalized eigenvalues, the generalized real Schur form and, optionally,
the left and/or right matrices of Schur vectors

F08XBF 
Computes, for a real nonsymmetric matrix pair, the generalized eigenvalues, the generalized real Schur form and, optionally,
the left and/or right matrices of Schur vectors; also, optionally, computes reciprocal condition numbers for selected eigenvalues

F08XNF 
Computes, for a complex nonsymmetric matrix pair, the generalized eigenvalues, the generalized complex Schur form and, optionally,
the left and/or right matrices of Schur vectors

F08XPF 
Computes, for a complex nonsymmetric matrix pair, the generalized eigenvalues, the generalized complex Schur form and, optionally,
the left and/or right matrices of Schur vectors; also, optionally, computes reciprocal condition numbers for selected eigenvalues

F08ZAF 
Solves the real linear equalityconstrained leastsquares (LSE) problem 
F08ZBF 
Solves a real general Gauss–Markov linear model (GLM) problem 
F08ZEF 
Computes a generalized QR factorization of a real matrix pair

F08ZFF 
Computes a generalized RQ factorization of a real matrix pair

F08ZNF 
Solves the complex linear equalityconstrained leastsquares (LSE) problem 
F08ZPF 
Solves a complex general Gauss–Markov linear model (GLM) problem 
F08ZSF 
Computes a generalized QR factorization of a complex matrix pair

F08ZTF 
Computes a generalized RQ factorization of a complex matrix pair

F11DCF 
Solution of real sparse nonsymmetric linear system, RGMRES, CGS, BiCGSTAB or TFQMR method, preconditioner computed by F11DAF 
F11DEF 
Solution of real sparse nonsymmetric linear system, RGMRES, CGS, BiCGSTAB, or TFQMR method, Jacobi or SSOR preconditioner
(Black Box)

F11DKF 
Real sparse nonsymmetric linear systems, line Jacobi preconditioner 
F11DQF 
Solution of complex sparse nonHermitian linear system, RGMRES, CGS, BiCGSTAB or TFQMR method, preconditioner computed by
F11DNF (Black Box)

F11DSF 
Solution of complex sparse nonHermitian linear system, RGMRES, CGS, BiCGSTAB or TFQMR method, Jacobi or SSOR preconditioner
Black Box

F11DXF 
Complex sparse nonsymmetric linear systems, line Jacobi preconditioner 
F11JCF 
Solution of real sparse symmetric linear system, conjugate gradient/Lanczos method, preconditioner computed by F11JAF (Black Box)

F11JEF 
Solution of real sparse symmetric linear system, conjugate gradient/Lanczos method, Jacobi or SSOR preconditioner (Black Box) 
F11JQF 
Solution of complex sparse Hermitian linear system, conjugate gradient/Lanczos method, preconditioner computed by F11JNF (Black Box)

F11JSF 
Solution of complex sparse Hermitian linear system, conjugate gradient/Lanczos method, Jacobi or SSOR preconditioner (Black
Box)

F12FCF 
Returns the converged approximations (as determined by F12ABF) to eigenvalues of a real symmetric sparse (standard or generalized) eigenproblem and, optionally, the corresponding approximate
eigenvectors and/or an orthonormal basis for the associated approximate invariant subspace

F12FGF 
Computes approximations to selected eigenvalues of a real symmetric banded (standard or generalized) eigenproblem and, optionally,
the corresponding approximate eigenvectors and/or an orthonormal basis for the associated approximate invariant subspace

G01HBF 
Computes probabilities for the multivariate Normal distribution 
G02BYF 
Computes partial correlation/variancecovariance matrix from correlation/variancecovariance matrix computed by G02BXF 
G02CGF 
Multiple linear regression, from correlation coefficients, with constant term 
G02CHF 
Multiple linear regression, from correlationlike coefficients, without constant term 
G02DAF 
Fits a general (multiple) linear regression model 
G02DDF 
Estimates of linear parameters and general linear regression model from updated model 
G02DEF 
Add a new independent variable to a general linear regression model 
G02DGF 
Fits a general linear regression model to new dependent variable 
G02DKF 
Estimates and standard errors of parameters of a general linear regression model for given constraints 
G02EAF 
Computes residual sums of squares for all possible linear regressions for a set of independent variables 
G02EEF 
Fits a linear regression model by forward selection 
G02GAF 
Fits a generalized linear model with Normal errors 
G02GBF 
Fits a generalized linear model with binomial errors 
G02GCF 
Fits a generalized linear model with Poisson errors 
G02GDF 
Fits a generalized linear model with gamma errors 
G02GKF 
Estimates and standard errors of parameters of a general linear model for given constraints 
G02HAF 
Robust regression, standard Mestimates

G02HDF 
Robust regression, compute regression with usersupplied functions and weights 
G02HFF 
Robust regression, variancecovariance matrix following G02HDF 
G02JAF 
Linear mixed effects regression using Restricted Maximum Likelihood (REML) 
G03AAF 
Performs principal component analysis 
G03ACF 
Performs canonical variate analysis 
G03ADF 
Performs canonical correlation analysis 
G03BAF 
Computes orthogonal rotations for loading matrix, generalized orthomax criterion 
G03BCF 
Computes Procrustes rotations 
G03CAF 
Computes maximum likelihood estimates of the parameters of a factor analysis model, factor loadings, communalities and residual
correlations

G03DAF 
Computes test statistic for equality of withingroup covariance matrices and matrices for discriminant analysis 
G03FAF 
Performs principal coordinate analysis, classical metric scaling 
G04BBF 
Analysis of variance, randomized block or completely randomized design, treatment means and standard errors 
G04BCF 
Analysis of variance, general row and column design, treatment means and standard errors 
G05PCF 
Generates a realisation of a multivariate time series from a VARMA model 
G08RAF 
Regression using ranks, uncensored data 
G08RBF 
Regression using ranks, rightcensored data 
G11CAF 
Returns parameter estimates for the conditional analysis of stratified data 
G11SAF 
Contingency table, latent variable model for binary data 
G12BAF 
Fits Cox's proportional hazard model 
G13ADF 
Univariate time series, preliminary estimation, seasonal ARIMA model 
G13AEF 
Univariate time series, estimation, seasonal ARIMA model (comprehensive) 
G13AFF 
Univariate time series, estimation, seasonal ARIMA model (easytouse) 
G13AJF 
Univariate time series, state set and forecasts, from fully specified seasonal ARIMA model 
G13ASF 
Univariate time series, diagnostic checking of residuals, following G13AEF or G13AFF 
G13BAF 
Multivariate time series, filtering (prewhitening) by an ARIMA model 
G13BBF 
Multivariate time series, filtering by a transfer function model 
G13BDF 
Multivariate time series, preliminary estimation of transfer function model 
G13BEF 
Multivariate time series, estimation of multiinput model 
G13BJF 
Multivariate time series, state set and forecasts from fully specified multiinput model 
G13DBF 
Multivariate time series, multiple squared partial autocorrelations 
G13DCF 
Multivariate time series, estimation of VARMA model 
G13DJF 
Multivariate time series, forecasts and their standard errors 
G13DNF 
Multivariate time series, sample partial lag correlation matrices, χ^{2} statistics and significance levels

G13DPF 
Multivariate time series, partial autoregression matrices 
G13DSF 
Multivariate time series, diagnostic checking of residuals, following G13DCF 
G13DXF 
Calculates the zeros of a vector autoregressive (or moving average) operator 
G13EBF 
Combined measurement and time update, one iteration of Kalman filter, timeinvariant, square root covariance filter 
G13FAF 
Univariate time series, parameter estimation for either a symmetric GARCH process or a GARCH process with asymmetry of the
form (ε_{t1}+γ)^{2} 
G13FCF 
Univariate time series, parameter estimation for a GARCH process with asymmetry of the form (ε_{t1}+γε_{t1})^{2} 
G13FEF 
Univariate time series, parameter estimation for an asymmetric Glosten, Jagannathan and Runkle (GJR) GARCH process 
G13FGF 
Univariate time series, parameter estimation for an exponential GARCH (EGARCH) process 