Robust Multivariate Regression Works well with non Gaussian data or outliers. Allows you to set up bounds on the regression parameters (similar to ridge regression). Does not use matrix inversion, thus numerically stable. Robust parameter estimation based on Monte-Carlo simulations and re-sampling. The source code can easily be modified to perform logistic regression. This package can be used by scientists, programmers, analysts or engineers with limited statistical knowledge. Works on Unix, Linux or Windows. We will help you install the software (and Perl) on your machine, at no cost.
Competitive advantages:
- Offered with compact but simple and well documented source code.
- Processes datasets with hundreds of variables and / or millions of rows.
- Proprietary algorithm.
- Performs robust regression.
- Numerically stable.

Additional modules:
- Model validation.
- Sensitivity analysis.
- Confidence intervals and percentiles for regression parameters.
- Using different error minimization criteria.
- Confidence intervals for arbitrary combinations of regression parameters.

Product Accessibility : Available for purchase only.

Address: Data Shaping Solutions, LLC.
1001 Parkview Dr.
Phone Number : 925-432-4104
Fax Number : 925-432-4102
Email: vincentg@datashaping.com
URL: http://www.datashaping.com