 # Integer Rational Real Single precision

## Found at: ftp.icm.edu.pl:70/packages/netlib/slatec/gams

```A.  Arithmetic, error analysis
```
```A1.  Integer
```
```A2.  Rational
```
```A3.  Real
```
```A3A.  Single precision
```
```A3B.  Double precision
```
```A3C.  Extended precision
```
```A3D.  Extended range
```
```A4.  Complex
```
```A4A.  Single precision
```
```A4B.  Double precision
```
```A4C.  Extended precision
```
```A4D.  Extended range
```
```A5.  Interval
```
```A5A.  Real
```
```A5B.  Complex
```
```A6.  Change of representation
```
```A6A.  Type conversion
```
```A6B.  Base conversion
```
```A6C.  Decomposition, construction
```
```A7.  Sequences (e.g., convergence acceleration)
```
```B.  Number theory
```
```C.  Elementary and special functions (search also class L5)
```
```C1.  Integer-valued functions (e.g., floor, ceiling, factorial, binomial
```
```     coefficient)
```
```C2.  Powers, roots, reciprocals
```
```C3.  Polynomials
```
```C3A.  Orthogonal
```
```C3A1.  Trigonometric
```
```C3A2.  Chebyshev, Legendre
```
```C3A3.  Laguerre
```
```C3A4.  Hermite
```
```C3B.  Non-orthogonal
```
```C4.  Elementary transcendental functions
```
```C4A.  Trigonometric, inverse trigonometric
```
```C4B.  Exponential, logarithmic
```
```C4C.  Hyperbolic, inverse hyperbolic
```
```C4D.  Integrals of elementary transcendental functions
```
```C5.  Exponential and logarithmic integrals
```
```C6.  Cosine and sine integrals
```
```C7.  Gamma
```
```C7A.  Gamma, log gamma, reciprocal gamma
```
```C7B.  Beta, log beta
```
```C7C.  Psi function
```
```C7D.  Polygamma function
```
```C7E.  Incomplete gamma
```
```C7F.  Incomplete beta
```
```C7G.  Riemann zeta
```
```C8.  Error functions
```
```C8A.  Error functions, their inverses, integrals, including the normal
```
```      distribution function
```
```C8B.  Fresnel integrals
```
```C8C.  Dawson's integral
```
```C9.  Legendre functions
```
```C10.  Bessel functions
```
```C10A.  J, Y, H-(1), H-(2)
```
```C10A1.  Real argument, integer order
```
```C10A2.  Complex argument, integer order
```
```C10A3.  Real argument, real order
```
```C10A4.  Complex argument, real order
```
```C10A5.  Complex argument, complex order
```
```C10B.  I, K
```
```C10B1.  Real argument, integer order
```
```C10B2.  Complex argument, integer order
```
```C10B3.  Real argument, real order
```
```C10B4.  Complex argument, real order
```
```C10B5.  Complex argument, complex order
```
```C10C.  Kelvin functions
```
```C10D.  Airy and Scorer functions
```
```C10E.  Struve, Anger, and Weber functions
```
```C10F.  Integrals of Bessel functions
```
```C11.  Confluent hypergeometric functions
```
```C12.  Coulomb wave functions
```
```C13.  Jacobian elliptic functions, theta functions
```
```C14.  Elliptic integrals
```
```C15.  Weierstrass elliptic functions
```
```C16.  Parabolic cylinder functions
```
```C17.  Mathieu functions
```
```C18.  Spheroidal wave functions
```
```C19.  Other special functions
```
```D.  Linear Algebra
```
```D1.  Elementary vector and matrix operations
```
```D1A.  Elementary vector operations
```
```D1A1.  Set to constant
```
```D1A2.  Minimum and maximum components
```
```D1A3.  Norm
```
```D1A3A.  L-1 (sum of magnitudes)
```
```D1A3B.  L-2 (Euclidean norm)
```
```D1A3C.  L-infinity (maximum magnitude)
```
```D1A4.  Dot product (inner product)
```
```D1A5.  Copy or exchange (swap)
```
```D1A6.  Multiplication by scalar
```
```D1A7.  Triad (a*x+y for vectors x,y and scalar a)
```
```D1A8.  Elementary rotation (Givens transformation)
```
```D1A9.  Elementary reflection (Householder transformation)
```
```D1A10.  Convolutions
```
```D1B.  Elementary matrix operations
```
```D1B1.  Set to zero, to identity
```
```D1B2.  Norm
```
```D1B3.  Transpose
```
```D1B4.  Multiplication by vector
```
```D1B5.  Addition, subtraction
```
```D1B6.  Multiplication
```
```D1B7.  Matrix polynomial
```
```D1B8.  Copy
```
```D1B9.  Storage mode conversion
```
```D1B10.  Elementary rotation (Givens transformation)
```
```D1B11.  Elementary reflection (Householder transformation)
```
```D2.  Solution of systems of linear equations (including inversion, LU and
```
```     related decompositions)
```
```D2A.  Real nonsymmetric matrices
```
```D2A1.  General
```
```D2A2.  Banded
```
```D2A2A.  Tridiagonal
```
```D2A3.  Triangular
```
```D2A4.  Sparse
```
```D2B.  Real symmetric matrices
```
```D2B1.  General
```
```D2B1A.  Indefinite
```
```D2B1B.  Positive definite
```
```D2B2.  Positive definite banded
```
```D2B2A.  Tridiagonal
```
```D2B4.  Sparse
```
```D2C.  Complex non-Hermitian matrices
```
```D2C1.  General
```
```D2C2.  Banded
```
```D2C2A.  Tridiagonal
```
```D2C3.  Triangular
```
```D2C4.  Sparse
```
```D2D.  Complex Hermitian matrices
```
```D2D1.  General
```
```D2D1A.  Indefinite
```
```D2D1B.  Positive definite
```
```D2D2.  Positive definite banded
```
```D2D2A.  Tridiagonal
```
```D2D4.  Sparse
```
```D2E.  Associated operations (e.g., matrix reorderings)
```
```D3.  Determinants
```
```D3A.  Real nonsymmetric matrices
```
```D3A1.  General
```
```D3A2.  Banded
```
```D3A2A.  Tridiagonal
```
```D3A3.  Triangular
```
```D3A4.  Sparse
```
```D3B.  Real symmetric matrices
```
```D3B1.  General
```
```D3B1A.  Indefinite
```
```D3B1B.  Positive definite
```
```D3B2.  Positive definite banded
```
```D3B2A.  Tridiagonal
```
```D3B4.  Sparse
```
```D3C.  Complex non-Hermitian matrices
```
```D3C1.  General
```
```D3C2.  Banded
```
```D3C2A.  Tridiagonal
```
```D3C3.  Triangular
```
```D3C4.  Sparse
```
```D3D.  Complex Hermitian matrices
```
```D3D1.  General
```
```D3D1A.  Indefinite
```
```D3D1B.  Positive definite
```
```D3D2.  Positive definite banded
```
```D3D2A.  Tridiagonal
```
```D3D4.  Sparse
```
```D4.  Eigenvalues, eigenvectors
```
```D4A.  Ordinary eigenvalue problems (Ax = (lambda) * x)
```
```D4A1.  Real symmetric
```
```D4A2.  Real nonsymmetric
```
```D4A3.  Complex Hermitian
```
```D4A4.  Complex non-Hermitian
```
```D4A5.  Tridiagonal
```
```D4A6.  Banded
```
```D4A7.  Sparse
```
```D4B.  Generalized eigenvalue problems (e.g., Ax = (lambda)*Bx)
```
```D4B1.  Real symmetric
```
```D4B2.  Real general
```
```D4B3.  Complex Hermitian
```
```D4B4.  Complex general
```
```D4B5.  Banded
```
```D4C.  Associated operations
```
```D4C1.  Transform problem
```
```D4C1A.  Balance matrix
```
```D4C1B.  Reduce to compact form
```
```D4C1B1.  Tridiagonal
```
```D4C1B2.  Hessenberg
```
```D4C1B3.  Other
```
```D4C1C.  Standardize problem
```
```D4C2.  Compute eigenvalues of matrix in compact form
```
```D4C2A.  Tridiagonal
```
```D4C2B.  Hessenberg
```
```D4C2C.  Other
```
```D4C3.  Form eigenvectors from eigenvalues
```
```D4C4.  Back transform eigenvectors
```
```D4C5.  Determine Jordan normal form
```
```D5.  QR decomposition, Gram-Schmidt orthogonalization
```
```D6.  Singular value decomposition
```
```D7.  Update matrix decompositions
```
```D7A.  LU
```
```D7B.  Cholesky
```
```D7C.  QR
```
```D7D.  Singular value
```
```D8.  Other matrix equations (e.g., AX+XB=C)
```
```D9.  Overdetermined or underdetermined systems of equations, singular systems,
```
```     pseudo-inverses (search also classes D5, D6, K1a, L8a)
```
```E.  Interpolation
```
```E1.  Univariate data (curve fitting)
```
```E1A.  Polynomial splines (piecewise polynomials)
```
```E1B.  Polynomials
```
```E1C.  Other functions (e.g., rational, trigonometric)
```
```E2.  Multivariate data (surface fitting)
```
```E2A.  Gridded
```
```E2B.  Scattered
```
```E3.  Service routines (e.g., grid generation, evaluation of fitted functions)
```
```     (search also class N5)
```
```F.  Solution of nonlinear equations
```
```F1.  Single equation
```
```F1A.  Smooth
```
```F1A1.  Polynomial
```
```F1A1A.  Real coefficients
```
```F1A1B.  Complex coefficients
```
```F1A2.  Nonpolynomial
```
```F1B.  General (no smoothness assumed)
```
```F2.  System of equations
```
```F2A.  Smooth
```
```F2B.  General (no smoothness assumed)
```
```F3.  Service routines (e.g., check user-supplied derivatives)
```
```G.  Optimization (search also classes K, L8)
```
```G1.  Unconstrained
```
```G1A.  Univariate
```
```G1A1.  Smooth function
```
```G1A1A.  User provides no derivatives
```
```G1A1B.  User provides first derivatives
```
```G1A1C.  User provides first and second derivatives
```
```G1A2.  General function (no smoothness assumed)
```
```G1B.  Multivariate
```
```G1B1.  Smooth function
```
```G1B1A.  User provides no derivatives
```
```G1B1B.  User provides first derivatives
```
```G1B1C.  User provides first and second derivatives
```
```G1B2.  General function (no smoothness assumed)
```
```G2.  Constrained
```
```G2A.  Linear programming
```
```G2A1.  Dense matrix of constraints
```
```G2A2.  Sparse matrix of constraints
```
```G2B.  Transportation and assignments problem
```
```G2C.  Integer programming
```
```G2C1.  Zero/one
```
```G2C2.  Covering and packing problems
```
```G2C3.  Knapsack problems
```
```G2C4.  Matching problems
```
```G2C5.  Routing, scheduling, location problems
```
```G2C6.  Pure integer programming
```
```G2C7.  Mixed integer programming
```
```G2D.  Network (for network reliability search class M)
```
```G2D1.  Shortest path
```
```G2D2.  Minimum spanning tree
```
```G2D3.  Maximum flow
```
```G2D3A.  Generalized networks
```
```G2D3B.  Networks with side constraints
```
```G2D4.  Test problem generation
```
```G2E.  Quadratic programming
```
```G2E1.  Positive definite Hessian (i.e. convex problem)
```
```G2E2.  Indefinite Hessian
```
```G2F.  Geometric programming
```
```G2G.  Dynamic programming
```
```G2H.  General nonlinear programming
```
```G2H1.  Simple bounds
```
```G2H1A.  Smooth function
```
```G2H1A1.  User provides no derivatives
```
```G2H1A2.  User provides first derivatives
```
```G2H1A3.  User provides first and second derivatives
```
```G2H1B.  General function (no smoothness assumed)
```
```G2H2.  Linear equality or inequality constraints
```
```G2H2A.  Smooth function
```
```G2H2A1.  User provides no derivatives
```
```G2H2A2.  User provides first derivatives
```
```G2H2A3.  User provides first and second derivatives
```
```G2H2B.  General function (no smoothness assumed)
```
```G2H3.  Nonlinear constraints
```
```G2H3A.  Equality constraints only
```
```G2H3A1.  Smooth function and constraints
```
```G2H3A1A.  User provides no derivatives
```
```G2H3A1B.  User provides first derivatives of function and constraints
```
```G2H3A1C.  User provides first and second derivatives of function and
```
```          constraints
```
```G2H3A2.  General function and constraints (no smoothness assumed)
```
```G2H3B.  Equality and inequality constraints
```
```G2H3B1.  Smooth function and constraints
```
```G2H3B1A.  User provides no derivatives
```
```G2H3B1B.  User provides first derivatives of function and constraints
```
```G2H3B1C.  User provides first and second derivatives of function and
```
```          constraints
```
```G2H3B2.  General function and constraints (no smoothness assumed)
```
```G2I.  Global solution to nonconvex problems
```
```G3.  Optimal control
```
```G4.  Service routines
```
```G4A.  Problem input (e.g., matrix generation)
```
```G4B.  Problem scaling
```
```G4C.  Check user-supplied derivatives
```
```G4D.  Find feasible point
```
```G4E.  Check for redundancy
```
```G4F.  Other
```
```H.  Differentiation, integration
```
```H1.  Numerical differentiation
```
```H2.  Quadrature (numerical evaluation of definite integrals)
```
```H2A.  One-dimensional integrals
```
```H2A1.  Finite interval (general integrand)
```
```H2A1A.  Integrand available via user-defined procedure
```
```H2A1A1.  Automatic (user need only specify required accuracy)
```
```H2A1A2.  Nonautomatic
```
```H2A1B.  Integrand available only on grid
```
```H2A1B1.  Automatic (user need only specify required accuracy)
```
```H2A1B2.  Nonautomatic
```
```H2A2.  Finite interval (specific or special type integrand including weight
```
```       functions, oscillating and singular integrands, principal value
```
```       integrals, splines, etc.)
```
```H2A2A.  Integrand available via user-defined procedure
```
```H2A2A1.  Automatic (user need only specify required accuracy)
```
```H2A2A2.  Nonautomatic
```
```H2A2B.  Integrand available only on grid
```
```H2A2B1.  Automatic (user need only specify required accuracy)
```
```H2A2B2.  Nonautomatic
```
```H2A3.  Semi-infinite interval (including e**(-x) weight function)
```
```H2A3A.  Integrand available via user-defined procedure
```
```H2A3A1.  Automatic (user need only specify required accuracy)
```
```H2A3A2.  Nonautomatic
```
```H2A4.  Infinite interval (including e**(-x**2)) weight function)
```
```H2A4A.  Integrand available via user-defined procedure
```
```H2A4A1.  Automatic (user need only specify required accuracy)
```
```H2A4A2.  Nonautomatic
```
```H2B.  Multidimensional integrals
```
```H2B1.  One or more hyper-rectangular regions
```
```H2B1A.  Integrand available via user-defined procedure
```
```H2B1A1.  Automatic (user need only specify required accuracy)
```
```H2B1A2.  Nonautomatic
```
```H2B1B.  Integrand available only on grid
```
```H2B1B1.  Automatic (user need only specify required accuracy)
```
```H2B1B2.  Nonautomatic
```
```H2B2.  Nonrectangular region, general region
```
```H2B2A.  Integrand available via user-defined procedure
```
```H2B2A1.  Automatic (user need only specify required accuracy)
```
```H2B2A2.  Nonautomatic
```
```H2B2B.  Integrand available only on grid
```
```H2B2B1.  Automatic (user need only specify required accuracy)
```
```H2B2B2.  Nonautomatic
```
```H2C.  Service routines (compute weight and nodes for quadrature formulas)
```
```          system)
```
```J.  Integral transforms
```
```J1.  Fast Fourier transforms (search class L10 for time series analysis)
```
```J1A.  One-dimensional
```
```J1A1.  Real
```
```J1A2.  Complex
```
```J1A3.  Trigonometric (sine, cosine)
```
```J1B.  Multidimensional
```
```J2.  Convolutions
```
```J3.  Laplace transforms
```
```J4.  Hilbert transforms
```
```K.  Approximation (search also class L8)
```
```K1.  Least squares (L-2) approximation
```
```K1A.  Linear least squares (search also classes D5, D6, D9)
```
```K1A1.  Unconstrained
```
```K1A1A.  Univariate data (curve fitting)
```
```K1A1A1.  Polynomial splines (piecewise polynomials)
```
```K1A1A2.  Polynomials
```
```K1A1A3.  Other functions (e.g., rational, trigonometric, user-specified)
```
```K1A1B.  Multivariate data (surface fitting)
```
```K1A2.  Constrained
```
```K1A2A.  Linear constraints
```
```K1A2B.  Nonlinear constraints
```
```K1B.  Nonlinear least squares
```
```K1B1.  Unconstrained
```
```K1B1A.  Smooth functions
```
```K1B1A1.  User provides no derivatives
```
```K1B1A2.  User provides first derivatives
```
```K1B1A3.  User provides first and second derivatives
```
```K1B1B.  General functions
```
```K1B2.  Constrained
```
```K1B2A.  Linear constraints
```
```K1B2B.  Nonlinear constraints
```
```K2.  Minimax (L-infinity) approximation
```
```K3.  Least absolute value (L-1) approximation
```
```K4.  Other analytic approximations (e.g., Taylor polynomial, Pade)
```
```K5.  Smoothing
```
```K6.  Service routines (e.g., mesh generation, evaluation of fitted functions)
```
```     (search also class N5)
```
```L.  Statistics, probability
```
```L1.  Data summarization
```
```L1A.  One univariate quantitative sample
```
```L1A1.  Ungrouped data
```
```L1A1A.  Location
```
```L1A1B.  Dispersion
```
```L1A1C.  Shape
```
```L1A1D.  Distribution, density
```
```L1A2.  Ungrouped data with missing values
```
```L1A3.  Grouped data
```
```L1A3A.  Location
```
```L1A3B.  Dispersion
```
```L1A3C.  Shape
```
```L1C.  One univariate qualitative (proportional) sample
```
```L1E.  Two or more univariate samples or one multivariate sample
```
```L1E1.  Ungrouped data
```
```L1E1A.  Location
```
```L1E1B.  Correlation
```
```L1E2.  Ungrouped data with missing values
```
```L1E3.  Grouped data
```
```L1F.  Two or more multivariate samples
```
```L2.  Data manipulation (search also class N)
```
```L2A.  Transform (search also class N6 for sorting, ranking)
```
```L2B.  Group
```
```L2C.  Sample
```
```L2D.  Subset
```
```L3.  Graphics (search also class Q)
```
```L3A.  Histograms
```
```L3B.  Distribution functions
```
```L3C.  Scatter diagrams
```
```L3C1.  Y vs. X
```
```L3C2.  Symbol plots
```
```L3C3.  Multiple plots
```
```L3C4.  Probability plots
```
```L3C4B.  Beta, binomial
```
```L3C4C.  Cauchy, chi-squared
```
```L3C4D.  Double exponential
```
```L3C4E.  Exponential, extreme value
```
```L3C4F.  F distribution
```
```L3C4G.  Gamma, geometric
```
```L3C4H.  Halfnormal
```
```L3C4L.  Lambda, logistic, lognormal
```
```L3C4N.  Negative binomial, normal
```
```L3C4P.  Pareto, Poisson
```
```L3C4T.  t distribution
```
```L3C4U.  Uniform
```
```L3C4W.  Weibull
```
```L3C5.  Time series plots (X(i) vs. i, vertical, lag)
```
```L3D.  EDA graphics
```
```L4.  Elementary statistical inference, hypothesis testing
```
```L4A.  One univariate quantitative sample
```
```L4A1.  Ungrouped data
```
```L4A1A.  Parameter estimation
```
```L4A1A2.  Binomial
```
```L4A1A5.  Extreme value
```
```L4A1A14.  Normal
```
```L4A1A16.  Poisson
```
```L4A1A21.  Uniform
```
```L4A1A23.  Weibull
```
```L4A1B.  Distribution-free (nonparametric) analysis
```
```L4A1C.  Goodness-of-fit tests
```
```L4A1D.  Tests on sequences of numbers
```
```L4A1E.  Density and distribution function estimation
```
```L4A1F.  Tolerance limits
```
```L4A2.  Ungrouped data with missing values
```
```L4A3.  Grouped data
```
```L4A3A.  Parameter estimation
```
```L4A3A14.  Normal
```
```L4B.  Two or more univariate quantitative samples
```
```L4B1.  Ungrouped data
```
```L4B1A.  Parameter estimation
```
```L4B1A14.  Normal
```
```L4B1B.  Distribution-free (nonparametric) analysis
```
```L4B2.  Ungrouped data with missing values
```
```L4B3.  Grouped data
```
```L4C.  One univariate qualitative (proportional) sample
```
```L4D.  Two or more univariate samples
```
```L4E.  One multivariate sample
```
```L4E1.  Ungrouped data
```
```L4E1A.  Parameter estimation
```
```L4E1A14.  Normal
```
```L4E1B.  Distribution-free (nonparametric) analysis
```
```L4E2.  Ungrouped data with missing values
```
```L4E2A.  Parameter estimation
```
```L4E2B.  Distribution-free (nonparametric) analysis
```
```L4E3.  Grouped data
```
```L4E3A.  Parameter estimation
```
```L4E3A14.  Normal
```
```L4E3B.  Distribution-free (nonparametric) analysis
```
```L4E4.  Two or more multivariate samples
```
```L4E4A.  Parameter estimation
```
```L4E4A14.  Normal
```
```L5.  Function evaluation (search also class C)
```
```L5A.  Univariate
```
```L5A1.  Cumulative distribution functions, probability density functions
```
```L5A1B.  Beta, binomial
```
```L5A1C.  Cauchy, chi-squared
```
```L5A1D.  Double exponential
```
```L5A1E.  Error function, exponential, extreme value
```
```L5A1F.  F distribution
```
```L5A1G.  Gamma, general, geometric
```
```L5A1H.  Halfnormal, hypergeometric
```
```L5A1K.  Kolmogorov-Smirnov
```
```L5A1L.  Lambda, logistic, lognormal
```
```L5A1N.  Negative binomial, normal
```
```L5A1P.  Pareto, Poisson
```
```L5A1T.  t distribution
```
```L5A1U.  Uniform
```
```L5A1W.  Weibull
```
```L5A2.  Inverse cumulative distribution functions, sparsity functions
```
```L5A2B.  Beta, binomial
```
```L5A2C.  Cauchy, chi-squared
```
```L5A2D.  Double exponential
```
```L5A2E.  Exponential, extreme value
```
```L5A2F.  F distribution
```
```L5A2G.  Gamma, general, geometric
```
```L5A2H.  Halfnormal
```
```L5A2L.  Lambda, logistic, lognormal
```
```L5A2N.  Negative binomial, normal, normal scores
```
```L5A2P.  Pareto, Poisson
```
```L5A2T.  t distribution
```
```L5A2U.  Uniform
```
```L5A2W.  Weibull
```
```L5B.  Multivariate
```
```L5B1.  Cumulative distribution functions, probability density functions
```
```L5B1N.  Normal
```
```L6.  Pseudo-random number generation
```
```L6A.  Univariate
```
```L6A2.  Beta, binomial, Boolean
```
```L6A3.  Cauchy, chi-squared
```
```L6A4.  Double exponential
```
```L6A5.  Exponential, extreme value
```
```L6A6.  F distribution
```
```L6A7.  Gamma, general (continuous, discrete) distributions, geometric
```
```L6A8.  Halfnormal, hypergeometric
```
```L6A9.  Integers
```
```L6A12.  Lambda, logical, logistic, lognormal
```
```L6A14.  Negative binomial, normal
```
```L6A15.  Order statistics
```
```L6A16.  Pareto, permutations, Poisson
```
```L6A19.  Samples, stable distribution
```
```L6A20.  t distribution, time series, triangular
```
```L6A21.  Uniform
```
```L6A22.  Von Mises
```
```L6A23.  Weibull
```
```L6B.  Multivariate
```
```L6B3.  Contingency table, correlation matrix
```
```L6B13.  Multinomial
```
```L6B14.  Normal
```
```L6B15.  Orthogonal matrix
```
```L6B21.  Uniform
```
```L6C.  Service routines (e.g., seed)
```
```L7.  Experimental design, including analysis of variance
```
```L7A.  Univariate
```
```L7A1.  One-way analysis of variance
```
```L7A1A.  Parametric analysis
```
```L7A1A1.  Contrasts, multiple comparisons
```
```L7A1A2.  Analysis of variance components
```
```L7A1B.  Distribution-free (nonparametric) analysis
```
```L7A2.  Balanced multiway design
```
```L7A2A.  Complete
```
```L7A2A1.  Parametric analysis
```
```L7A2A1A.  Two-way
```
```L7A2A1B.  Factorial
```
```L7A2A1C.  Nested
```
```L7A2A2.  Distribution-free (nonparametric) analysis
```
```L7A2B.  Incomplete
```
```L7A2B1.  Parametric analysis
```
```L7A2B1A.  Latin square
```
```L7A2B1B.  Lattice designs
```
```L7A2B2.  Distribution-free (nonparametric) analysis
```
```L7A3.  Analysis of covariance
```
```L7A4.  General linear model (unbalanced design)
```
```L7A4A.  Parametric analysis
```
```L7A4B.  Distribution-free (nonparametric) analysis
```
```L7B.  Multivariate
```
```L8.  Regression (search also classes G, K)
```
```L8A.  Linear least squares (L-2) (search also classes D5, D6, D9)
```
```L8A1.  Simple
```
```L8A1A.  Ordinary
```
```L8A1A1.  Unweighted
```
```L8A1A1A.  No missing values
```
```L8A1A1B.  Missing values
```
```L8A1A2.  Weighted
```
```L8A1B.  Through the origin
```
```L8A1C.  Errors in variables
```
```L8A1D.  Calibration (inverse regression)
```
```L8A2.  Polynomial
```
```L8A2A.  Not using orthogonal polynomials
```
```L8A2A1.  Unweighted
```
```L8A2A2.  Weighted
```
```L8A2B.  Using orthogonal polynomials
```
```L8A2B1.  Unweighted
```
```L8A2B2.  Weighted
```
```L8A3.  Piecewise polynomial (i.e. multiphase or spline)
```
```L8A4.  Multiple
```
```L8A4A.  Ordinary
```
```L8A4A1.  Unweighted
```
```L8A4A1A.  No missing values
```
```L8A4A1B.  Missing values
```
```L8A4A1C.  From correlation data
```
```L8A4A1D.  Using principal components
```
```L8A4A1E.  Using preference pairs
```
```L8A4A2.  Weighted
```
```L8A4B.  Errors in variables
```
```L8A4D.  Logistic
```
```L8A5.  Variable selection
```
```L8A6.  Regression design
```
```L8A7.  Several multiple regressions
```
```L8A8.  Multivariate
```
```L8A9.  Diagnostics
```
```L8A10.  Hypothesis testing, inference
```
```L8A10A.  Lack-of-fit tests
```
```L8A10B.  Analysis of residuals
```
```L8A10C.  Inference
```
```L8B.  Biased (ridge)
```
```L8C.  Linear least absolute value (L-1)
```
```L8D.  Linear minimax (L-infinity)
```
```L8E.  Robust
```
```L8F.  EDA
```
```L8G.  Nonlinear
```
```L8G1.  Unweighted
```
```L8G1A.  Derivatives not supplied
```
```L8G1B.  Derivatives supplied
```
```L8G2.  Weighted
```
```L8G2A.  Derivatives not supplied
```
```L8G2B.  Derivatives supplied
```
```L8H.  Service routines
```
```L9.  Categorical data analysis
```
```L9A.  2-by-2 tables
```
```L9B.  Two-way tables
```
```L9C.  Log-linear model
```
```L9D.  EDA (e.g., median polish)
```
```L10.  Time series analysis (search also class L3c5 for time series graphics)
```
```L10A.  Transformations, transforms (search also class J1)
```
```L10B.  Smoothing, filtering
```
```L10C.  Autocorrelation analysis
```
```L10D.  Complex demodulation
```
```L10E.  ARMA and ARIMA modeling and forecasting
```
```L10E1.  Model and parameter estimation
```
```L10E2.  Forecasting
```
```L10F.  Spectral analysis
```
```L10G.  Cross-correlation analysis
```
```L10G1.  Parameter estimation
```
```L10G2.  Forecasting
```
```L11.  Correlation analysis
```
```L12.  Discriminant analysis
```
```L13.  Factor analysis
```
```L13A.  Principal components analysis
```
```L14.  Cluster analysis
```
```L14A.  Unconstrained
```
```L14A1.  Nested
```
```L14A1A.  Joining (e.g., single link)
```
```L14A1B.  Divisive
```
```L14A2.  Non-nested
```
```L14B.  Constrained
```
```L14B1.  One-dimensional
```
```L14B2.  Two-dimensional
```
```L14C.  Display
```
```L15.  Life testing, survival analysis
```
```M.  Simulation, stochastic modeling (search also classes L6, L10)
```
```M1.  Simulation
```
```M1A.  Discrete
```
```M1B.  Continuous (Markov models)
```
```M2.  Queueing
```
```M3.  Reliability
```
```M3A.  Quality control
```
```M3B.  Electrical network
```
```M4.  Project optimization (e.g., PERT)
```
```N.  Data handling (search also class L2)
```
```N1.  Input, output
```
```N2.  Bit manipulation
```
```N3.  Character manipulation
```
```N4.  Storage management (e.g., stacks, heaps, trees)
```
```N5.  Searching
```
```N5A.  Extreme value
```
```N5B.  Insertion position
```
```N5C.  On a key
```
```N6.  Sorting
```
```N6A.  Internal
```
```N6A1.  Passive (i.e. construct pointer array, rank)
```
```N6A1A.  Integer
```
```N6A1B.  Real
```
```N6A1B1.  Single precision
```
```N6A1B2.  Double precision
```
```N6A1C.  Character
```
```N6A2.  Active
```
```N6A2A.  Integer
```
```N6A2B.  Real
```
```N6A2B1.  Single precision
```
```N6A2B2.  Double precision
```
```N6A2C.  Character
```
```N6B.  External
```
```N7.  Merging
```
```N8.  Permuting
```
```O.  Symbolic computation
```
```Q.  Graphics (search also classes L3, P)
```
```Q1.  Line printer plotting
```
```R.  Service routines
```
```R1.  Machine-dependent constants
```
```R2.  Error checking (e.g., check monotonicity)
```
```R3.  Error handling
```
```R3A.  Set criteria for fatal errors
```
```R3B.  Set unit number for error messages
```
```R3C.  Other utility programs
```
```R4.  Documentation retrieval
```
```S.  Software development tools
```
```S1.  Program transformation
```
```S2.  Static analysis
```
```S3.  Dynamic analysis
```
```Z.  Other
```

```.
```