I think XLSTAT provides partial least squares models but not general least squares. This would be very practical for time series analysis, for instance.

Spatial Autocorrelation Indices (e.g Moran's I) are mainstream of spatial statistics that are worth being implemented in XLSTAT software. They are useful for ecological studies.

Taylor diagram is available only on MATLAB, R and Python .It provides a visual framework for comparing a suite of variables from one or more test data sets to one or more reference data sets.The Taylor Diagram is a very useful model evaluation tool .

It would be very useful to include the products in the "Principal coordinates analysis plot". The result would be a plot that is a sort of combination of the "symmetric plot" and the "Principal coordinates analysis plot".

important to know how many subjects are at risk at each major time interval. I have to look this up in the table and add it manually for each group being analyzed.

Nonlinear regression ids in common use

add some plot to show the panel's repeatability , consistency

It would be useful to have a function that is able to do logratio transformations (additive logratio (alr), centered logration (clr) and Isometric logratio (ilr) transformations). It is an important step in order to open up closed data (e.g. compo...

Hello XLSTAT team. Any plans to add the eta squared and partial eta squared for ANOVA and regression ? These measures are commonly used to study the effect size. Plus, it is easy to implement and straightforward to interpret !