XLSTAT version 2014.6 is out !!
A brand new module is now available: The Latent Class cluster and regression models (XLSTAT-LG), that bring powerful alternatives to traditional clustering or regression methods. The XLSTAT-LG interface allows a precise control over model parameterization and offers rich outputs that optimize decision making. You won’t have to worry about computation speed: everything runs very fast.
The MX module now includes the design and analysis of the indispensable sensory discrimination tests, including the triangular test.
Finally, outputs related to multiple comparisons (ANOVA) are improved and now include the top/bottom boxes feature.
This module focuses on Analysis of Variance, but this technique makes assumptions about the underlying distributions in our data
This course covers the excellent features in XLSTAT for investigating, visualising and modelling data sets with measurements on many variables.
This short course delivered online will show consumer scientists how to use partial least squares in XLSTAT for relating consumer acceptability to sensory/analytic measures.
💡 Tip of the day Have you ever found yourself with too many variables to handle? Need an alternative to Linear Regr… https://t.co/6nee5dGqph