Detrended Correspondence Analysis (DCA) is a popular multivariate analysis tool that is widely used to explore potentially sparse community data matrices in ecology. It is usually able to remove undesired arch effects.

Please add the Logistic Regression feature to the Student Edition of your software. Logistic Regression is covered in most intermediate courses and textbooks in chapters on regression, but it's not an option in the student version of XLStat. Tha...

Confidence ellipses in pca illustrate the dissociation of groups and aid in the recognition of trends.

Data is becoming ever more both high dimensional and sparse. Kernel PCA can enable a reliable and relatively simple dimensionality reduction. Kernels have already been introduced in Xlstat via SVMs.

Very useful when I need to understand relationships between 2 or 3 samples. And it would prevent me from spending hours on PowerPoint ! Thanks

R(ecency), F(requency), M(onetary value) analysis segments customers on their actual purchase behavior. It allows for identifying loyal customers, lost customers, at-risk customers, etc., which can be useful for devising market penetration strateg...

Very useful in geosciences.

Spatial data stats is perhaps the most important aspect in ecology but also for geochemistry, environmental research, conservation. At least some basic tests should be provided:Clark and Evans' R, Pielou's α, etc.

Given the cost of the software, it is dissapointing to see the XLSTAT-Forecast module does not include BASIC forecast evaluation statistics such as Diebold Mariano, Peseran-Timmerman, Correct Sign, RMSE, MSE, ME, MAE, MAPE etc - the first three st...

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...