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High-Dimensional Empirical Linear Prediction (HELP) Toolbox User's Guide, Version 2.2



Andrew D. Koffman, T. M. Souders, Gerard N. Stenbakken, Hans Engler


This user's guide will assist software users in the understanding of the theory and procedures underlying the High-dimensional Empirical Linear Prediction (HELP) Toolbox, developed for use with the MATLAB(r) mathematical software environment. The HELP Toolbox is a comprehensive tool designed to optimize the testing of electronic devices and instruments. It can be used to produce and evaluate linear models of electronic device behavior from numerous exhaustive device-representative data sets, and to select an optimal set of test points. The software is menu-driven via a mouse and is designed to allow operation without knowledge of the mathematics involved. This user's guide introduces the user to the approach, provides a theoretical overview, gives menu and software descriptions, and contains a software tutorial.
Technical Note (NIST TN) - 1428
Report Number


calibration, empirical modeling, linear modeling, linear prediction, measurement uncertainty, model validation, parameter estimation, prediction intervals, test point selection


Koffman, A. , Souders, T. , Stenbakken, G. and Engler, H. (1999), High-Dimensional Empirical Linear Prediction (HELP) Toolbox User's Guide, Version 2.2, Technical Note (NIST TN), National Institute of Standards and Technology, Gaithersburg, MD, [online],, (Accessed July 25, 2024)


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Created April 30, 1999, Updated October 12, 2021