Rice Analytics

Automated Reduced Error Predictive Analytics


Our Reduced Error Logistic Regression (RELR) software product is called MyRELR.  We have versions of MyRELR for SAS and for Enterprise Miner.   MyRELR for SAS also interfaces with all SAS GUI products such as Enterprise Guide that use SAS as an analytical engine.  MyRELR for Enterprise Miner is an extension node to the SAS Enterprise Miner product.  Both versions can be installed on Windows, Linux, Unix or any operating system where SAS or Enterprise Miner is installed.   English language versions of SAS or Enterprise Miner are required in all cases. To get a copy of the MyRELR manual for Windows, click on this link to MyRELR Manual. 

A one month single user initial license of MyRELR is currently available in Windows Server or Windows Desktop systems for $995. We can provide other price quotes through the web form on the right. Predictive analytic costs related to labor, error, data processing, and data collection are always orders of magnitude larger than software costs, but MyRELR will help you reduce these  costs substantially. MyRELR is based upon patent pending and trade secret intellectual property, so it cannot be copied.  While our competitor's product also automates explanatory regression modeling, their arbitrary parameters can cause much greater error than manual modeling. Automation is possible in MyRELR because there are no arbitrary parameters, as RELR automatically gives the most probable explanatory model when error is modeled as part of the regression formulation. 

For the purpose of giving a very brief training exposure to RELR, we offer a Free RELR Web Training course taught by Dan Rice, the inventor of RELR and the developer of the SAS-based software. This course is available either as a:  

  •  1 Hr. Full Live Course - Thursday, March 11, Noon NY Time   
  •  1 Hr. Full Live Course - Thursday, March 18, Noon NY Time 
  •  1 Hr. Full Pre-Recorded On Demand Course (Available Anytime for Immediate Viewing)
  •  16 Min. Excerpted Pre-Recorded On Demand Course (Available Anytime for Immediate Viewing)

The 1 Hr. Full Course includes a Software Demo and extended discussion of RELR Statistical Theory.  This Full Course is helpful for those that wish to have a deeper theoretical understanding of how and why RELR works to reduce error.  The 16 Min. Excerpted Course is the last 16 minutes of the Full Course.  This Excerpted Course only focuses on Results, Best Usage Practices, and Cost Efficiencies. This Excerpted Course is helpful to those that want a brief higher level discussion of what RELR can do and how it can decrease costs substantially.  

To request licensing information on MyRELR or to request one of the Free Web training courses, please fill out the form on the right or email us at info@riceanalytics.com. Once you fill out this form, you will be directed to a link that allows immediate viewing of the On Demand courses and we will send you can an email with this same link for later viewing or we will contact you to confirm your schedule for the Live Course or to provide you with the licensing information that you request. 

SAS®, Enterprise Guide, and Enterprise Minerare trademarks of SAS Institute.  MyRELR™  is a trademark of Rice Analytics.  Rice Analytics is a member of the SAS Alliance Partnership.

Please fill out the following form to request Training or Licensing Information.
The field marked with (*) are required fields.
* Please indicate all items that interest you. MyRELR™ for SAS®
MyRELR™ for SAS® - Enterprise Guide™ GUI
MyRELR™ for Enterprise Miner™
One Month MyRELR Initial License Price Quote
One Year MyRELR License Price Quote
Free Live 1 Hr. Web Course
Free Link to Pre-Recorded On Demand Courses
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* Please tell us any and all computer operating systems(Windows Server 2003, Windows XP Professional, Windows 7, Unix, Linux etc.) in which you may like MyRELR to run. Windows XP Professional
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* If you would like a price quote on a MyRELR license, please tell us the number of MyRELR users that you expect to have.
* If you indicated that you wish to attend the Live Web Course, please let us know on what date of the possible dates with times listed on the left would you prefer to attend this course.
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