The NIST Statistics Reference Database (StRD) benchmarks are a collection of data sets, computational problems, and
certified results that are designed to test the accuracy of statistical software. For general information on the datasets
and computational problems, see:

NIST StRD Information

We have tested RATS using both the linear regression and non-linear regression data sets, and present the results below.

## Linear Regression Suite

These test the linear regression capabilities of statistical packages with problems that vary in the degree of computational
difficulty.

To see how RATS performed on these tests, click on NIST Linear Regression Results.

For additional details on the Linear Regression benchmark data sets and programs, see:

Linear Regressions: Data Sets

Linear Regressions: Background Information

The RATS (version 7) programs are in RatsNistLinear.Zip

## Non-Linear Regression Suite

The Nonlinear Regression benchmarks test the quality of a statistical package's non-linear estimation algorithms and
numerical precision. For each program, the estimation is run using three different sets of initial conditions. The first set
are intentionally set up to be "far" from the actual values (making the estimation process more difficult), the second set
are closer to the actual values (which should make estimation easier), while the third set starts the estimation from the
final estimated values (the challenge being for the algorithm to determine that it is already at a maximum).

To see how RATS performed on these tests, click on NIST Non-Linear Regression Results.

For more details on these problems, see:

Non-linear Regressions: Data Sets

Non-linear Regression: Background Information

The RATS (version 7) programs are in RatsNistNonlin.Zip

## Notes on the Testing Process

The tests were run using Version 7.00 of WinRATS (a 32-bit application) on an HP system with an AMD Athlon 3800+
64-bit processor, running Windows XP64.