XLSTAT 2007.6

Version 2007.6 of XLSTAT is available and brings the following new features:

  • Canonical correlation analysis has been added to the ADA module.
  • The GPA function, available in both the MX and ADA is now more flexible as you can now easily select configurations that do not have the same number of dimensions. This is very useful in sensory data analysis.
  • The GPA algorithm has been upgraded. It is significantly quicker and offers a new alternative approach for missing data : if a missing data is met for a given triplet object/configuration/dimension, the data are considered as missing for the couple object/configuration. Then, it is not necessary to consider the couple configuration/dimension or the whole object as being missing. This option has advantages that should be discribed soon in an article.
  • The PLSPM module has been improved.

最新のイベント

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 set up and learn about the routines available in XLSTAT for relating consumer acceptability to sensory/analytic measures.

最新ツィート

🗓️ Online #Statistics#Training Statistics & Multivariate Analysis with @XLSTAT. A course over 5 half days, June 2… https://t.co/mQrwvujCGI

🎉 #XLSTAT new version: 2021.2.2 New features and options for more flexible and powerful #data analysis. ➡️ Decis… https://t.co/Xhi68yeJAx

🗓 Dr. Fabien Llobell will be featuring at the @SDSSconf 2021: Cluster Analysis in a Multi-Block Setting during the… https://t.co/ZmvaAZkaQg