This is used a lot in Ecology, behavior and cosnervation.

Right now XLstat offers only an annual subscription. I have the need to use XLstat and prefer not to use other software, but with a single, small project cannot justify $1395 for a couple days worth of analyses. I'd gladly pay for a month's subscr...

BIC is a good complement to AIC to select parcimonious models

In the procedure Similarity /Dissimilarity matrices but also in Cluster Analysis it is possible to use a variety of similarity and dissimilarity measures. Choosing the right one is most important. To understand all these measures it would be han...

Parallel analysis to indicate how many factors should be retained in the PCA. Useful to anyone running a PCA and/or using a PCA prior to PrefMapping.

This machine learning technique is a new form of PCA that allows for determination of the set of variables that best explain two groups.https://arxiv.org/abs/1709.06716

We want to add an intensity dimensions to our attributes on a CATA question... for the moment, only CATA analyse are available on XLSTAT.The idea will be to create a CATA questionnaire, and for each attributes quoted, a JAR scale will be presented...

Since there is already a feature for doing PCAs, MFAs, etc. considering both active & supplementary data, it would be very useful adding the same feature for clustering methods as we usually use them paired up.

Discussed in classics such as Jacques Bertin's 1967 Semiology of graphics and Helmut Spaths Cluster analysis algorithms (which also describes Walter D. Fisher's discretization algorithm implemented in XLStat Fisher procedure) such matrix reorderi...