Insightful Corporation (NASDAQ:IFUL), a leading provider of predictive analytics and reporting solutions, announced today the formal launch of its Comprehensive S-PLUS� Archive Network (CSAN) at http://csan.insightful.com for the submission and sharing of free S-PLUS packages for the open source and commercial statistical programming communities. With its latest release, S-PLUS 8.0 Enterprise Developer, Insightful has delivered the S-PLUS package system, a set of features and functions that allows the delivery of complete statistical analysis software packages in S-PLUS. The system also includes tools for porting R packages for use in S-PLUS. The response from package developers and customers has been enthusiastic. �We are very excited by the interest and contributions that we have received so far,� comments Dr. Stephen Kaluzny, senior engineering manager for Insightful Corporation and architect for the S-PLUS package system. �Early feedback from beta customers and from the R community indicates a strong interest in using the package system for collaboration and the reliable delivery of rigorous statistical analysis.� Over 25 packages are currently available on the CSAN site free for download. Authors of new S-PLUS packages are encouraged to submit their packages to CSAN. Currently available packages were submitted during the S-PLUS 8.0 beta period. They include work done by Insightful�s own research group and S-PLUS users and packages converted by R users, including the following: Richard Heiberger, from Temple University, contributed a package named "HH" which supports the extensive use of graphic displays for data exploration as described in his book, "Statistical Analysis and Data Display." Harry Southworth, from AstraZeneca Pharmaceutical, contributed a port from R of the "ismev" package which is designed to support the computations in the book, "An Introduction to Statistical Modeling of Extreme Values." Knut Wittkowski, from Rockefeller University, contributed the "muStat" package which performs nonparametric tests. Martyn Plummer, from the International Agency for Research on Cancer in Lyon, France, is a contributing author for a package named "coda" which provides output analysis and diagnostics for Markov Chain Monte Carlo simulations. �This is a very encouraging development in the R/S-PLUS relationship,� states Uwe Ligges, from Dortmund University. �Insightful�s S-PLUS package system is a great start in bridging the gap between these statistical programming languages and we anticipate further cooperation will result in benefits for all statisticians, open source and commercial.� �We are committed to furthering the science of statistical programming as a company,� says Jeff Coombs, president and CEO of Insightful Corporation. �We want to thank all of the contributing authors to the S-PLUS package system. The CSAN site enables our customers to benefit directly from cutting-edge work being done in the predictive analytics field, as well as providing them with a conduit for giving back to the worldwide statistics community.� ABOUT INSIGHTFUL Insightful Corporation (NASDAQ:IFUL) is a provider of predictive analytics and reporting solutions. Insightful products S-PLUS�, Insightful Miner�, S-PLUS� Server and InFact� allow companies to perform sophisticated statistical data analysis, data mining and create high-quality graphical reporting from numeric and text data. Insightful has been delivering industry-leading, high-ROI solutions to thousands of companies in financial services, life sciences, biotechnology, telecommunications, and manufacturing, plus government and research institutions, for 20 years. Headquartered in Seattle, Insightful has offices in New York, North Carolina, France, Switzerland, and the United Kingdom, with distributors around the world. For more information, visit www.insightful.com, email info@insightful.com or call 1-800-569-0123. Note to Investors � Forward Looking Statements This press release contains forward-looking statements, including statements about the expected value of CSAN to customers and the statistics community. Forward-looking statements are based on the judgment and opinions of management at the time the statements are made. Inaccurate assumptions and known and unknown risks and uncertainties can affect the accuracy of forward-looking statements. Actual results could differ materially from those expressed or implied by the forward-looking statements for a number of reasons, including, without limitation, the risk that CSAN does not perform as designed and expected and the risk that CSAN does not achieve market acceptance. More detailed information regarding these and other factors that could affect actual results is set forth in our filings with the Securities and Exchange Commission, including our most recent report on Form 10-QSB. You should not unduly rely on these forward-looking statements, which apply only as of the date of this release. We undertake no obligation to update publicly any forward-looking statements to reflect new information, events or circumstances after the date of this release or to reflect the occurrence of anticipated events.
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