% Comprehensible Regression Toolbox.
%
% Data Processing.
%   rformat   - format matrix data into regression form.
%   corrform  - format X and Y so the XX, Xy are in correlation form
%   standard  - puts matrix into standard form.
%   istandard - inverse standard.
%   transform - scale variables by offset and magnitude
%   bz2b      - convert beta coefficients from standard to original scaling.
%
% Linear Inequality Constraints.
%   ldp       - least distance programming.
%   lsi       - least squares with linear inequalities.
%   lsie      - least squares with linear inequalities and equality constraints.
%
% Regression Functions.
%   reg       - regression via named routines
%   regreg    - regularized regression.
%   regreglc  - regularized regression with CV parameter selection.
%   linreg    - linear regression.
%   singlereg - find single regression coefficients.
%
% Regression with Monotonicity Constraints.
%   monoreg   - monotonic regression with lsi.
%   monoreg2  - monotonic regression with conls.
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% Regression with Principle Components.
%   pcreg     - principle component regression.
%   pcregcv   - principle component regression with CV selection.
%   pcsreg    - principle component regression with selection.
%
% Ridge Regression
%   findridgekit - find k iteratively.
%   ridge     - ridge regression.
%   ridgecv   - ridge regression with CV parameter selection.
%   ridgek    - ridge regression with automatic estimation of k.
%   ridgekit  - ridge regression with iterative estimation of k.
%   ridgep    - ridge regression toward a point.
%
% Regression with Variable Selection.
%   breg      - backward selection. 
%   freg      - forward selection.
%   mfreg     - forward selection with monotonicity constraints.
%   mfreg2    - mfreg but allows violations that exceed a set significance.
%   mfreg3    - searches for all monotonic variables first, then variables
%               that cause violations.
%
% Empirical Evaluation Functions.
%   descreg   - descriptive performance.
%   infreg    - inferential (predictive) performance.
%   gtrace    - graphical trace of mono. errors and predictive loss.
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% Error Functions.
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