Introduction of kernel functions in PLS can significantly improve the explanatory power of regression. Hope it comes true in future.

MARS is very good for modeling where the variables have a change in importance across a data set. fx=f(x) if a> some # and 0 otherwisesee https://en.wikipedia.org/wiki/Kriging#:~:text=From%20Wikipedia%2C%20the%20free%20encyclopedia,process%20g...

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...

Would be nice to be able to integrate the area under the curve in linear and non-linear models.

In a linear hierarchy regression, it is important to know the change in R-squared to know if additional variables in a model increase the association with the predictor variables between the models (independent variables).

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

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 !

The Err_Cache_Miss error occurs when data, sent from your browser to an online server, is interrupted. The data is usually required for the page to load properly, but this will require the data to be transferred again, which is not always appropri...

Allow Likert-type scale data to be used to automatically generate k*k pairwise comparisons, then populate a k x k square by summing the columns, to populate a k x k square matrix, and take the geometric mean of each row, then normalize the geometr...