CORExpress focuses on regression analysis (linear regression, logistic regression, etc.) where large numbers of correlated predictors may be available. On many data sets, CCR has been shown to outperform penalized regression techniques such as Lasso, and other methods such as Naive Bayes and PLS regression.
CORExpress® (patent pending) develops regression models using Correlated Component Regression (CCR) methods. CCR was developed by Dr. Jay Magidson for simultaneously estimating regression models (linear regression, logistic regression, etc.) and selecting predictors to be included in the model from a potentially large number of candidate predictors. Reliable models are obtained using a fast algorithm that incorporates M-fold cross-validation for tuning model parameters. Final models may even include more predictors than cases, a situation that is impossible with traditional regression methods. Learn More
XLSTAT® is a complete statistics package as an Excel Add-in. Data is input into Excel and output is displayed in Excel--eliminating the risks associated with transferring your output into Excel. The user-friendly interface makes it easy to quickly analyze your data--no complicated syntax! Learn More
Statistical Innovations is proud to announce its partnership with Addinsoft SARL, the developer of XLSTAT.
CORExpress®, Latent GOLD®, Latent GOLD® Choice, SI-CHAID®, & GOLDMineR® are trademarks of Statistical Innovations.
XLSTAT is a trademark of Addinsoft SARL.
Excel® is a trademark of the Microsoft Corporation.
SPSS® is a trademark of the IBM Corporation.
SAS® is a trademark of the SAS Institute Inc.
*Special offer for purchasing CORExpress expires 2 years after the date of purchase of XLSTAT-CCR. Offer is non-transferrable and only available to customers who purchase associated XLSTAT modules directly from Statistical Innovations Inc. For full details, please contact Will Barker at email@example.com.