XLSTAT is a data analysis solution for companies wanting to get more out of the increasingly vast wealth of digital data that’s available to them. And it is not just for sales and marketing teams. Financial departments can use XLSTAT Forecast for getting accurate financial forecasts and other insightful information, XLSTAT Biomed helps medical researchers obtain fast and accurate results, and XLSTAT Psy helps psychologists and psychiatrists more efficiently analyze complicated social and psychological data. In other words, whether you’re involved in quality control, marketing, sales, healthcare, science or education, XLSTAT provides the variant that you need to do more with data.

The team at ADDINSOFT recently launched a major new update with lots of new features, methods and improvements. So, what’s new in XLSTAT 2020.5?

  • CLUSCATA (available in XLSTAT Sensory and Premium)

    • A new method for clustering assessors based on their perceptions of products is available. CLUSCATA can be seen as an adaptation of CLUSTATIS for CATA data. An interesting option is the creation of a “K+1” class in order to set aside assessors who do not conform to any class.

    Access this new feature under the Sensory Data Analysis menu.

  • CATARACT (available in XLSTAT Sensory and Premium)

    • The CATARACT (CATA Rejection and ACceptation Tests) procedure offers a description of CATA surveys and allows you to extract information relative to the quality of the questionnaires. As part of this procedure, three new options are available in the CATA dialog box:

    • CATA data validation: to check the quality of the CATA data.
    • Independence of attributes: to determine whether the same attributes are checked by assessors for each product.
    • Handling of multiple sessions: to deal with unexpected cases where assessors evaluate a product several times.

    Access this new feature under the Sensory Data Analysis menu.

  • Regression & Classification Trees (available in all XLSTAT solutions except Basic)

    • Users can now choose among three ways to define the tree parameters (parent size, son size, depth):

    • Manually enter the values of each parameter.
    • Let XLSTAT search for the optimal values based on K-fold cross validation.
    • Set a range of values and let XLSTAT choose the best combination of parameters.

    Access this feature under the Machine Learning menu.

  • Nonlinear Regression Models (available in all XLSTAT solutions except Basic)

    • Boosted outputs and graphs:

    • 95% lower and upper bounds added to the model parameters table.
    • 95% confidence and prediction intervals curves displayed in the regression chart.
    • Four new enzyme kinetic equations (competitive, non-competitive, uncompetitive and mixed inhibition).

    Access this feature under the Modeling Data menu.

  • Missing-data Imputation (available in all XLSTAT solutions)

    • New techniques and a better management of missing values:

    • Users can now simultaneously deal with quantitative and qualitative missing data.
    • The EM algorithm has been implemented for quantitative missing data.
    • The NIPALS algorithm and replacement by a given textual value are available for qualitative missing values.

    Access this feature under the Preparing Data menu.

How to get XLSTAT 2020.5?

Version 2020.5 will give you access to all the above improvements, advanced options and increase the performance of your software. Installing our new version is recommended for all users.

If you are currently using our trial version or have a valid license, you can download version 2020.5 for free for Windows and for Mac.

If you have a perpetual license without access to free upgrades and maintenance, please order an upgrade via your MyXLSTAT portal or contact us for further information.

Find more at https://www.xlstat.com/