This would be of general interest to a lot of people. It allows to understand how robust is your model if data is removed. See examples here: https://en.wikipedia.org/wiki/Sensitivity_analysis

HOW to enter the data in EXCEL, how to use MFA and GPA to deal with the napping data PS: Napping data ara issued from sessions where panelists arrange all the products on a blank paper sheet.Napping allows to collect directly in only one sessio...

The Tanimoto coefficient is the most widely used similarity metric in cheminformatics.

Besides the mean comparisons between products or time-points, in consumer studies for example, usually Tops (1, 2, 3..) and Bottoms proportions/percentages are also required. As the number of questions is usually large, the inclusion of the result...

Hi, I have a question regarding the modeling data section. I have an XLSTAT-Premium version to deal with the metabolomics data. PCA and PLS-DA contributed a lot to explore my dataset. However, nowadays Orthogonal Partial least squares discriminant...

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

ma proposition est dans le titre. par ailleurs, je pense que vous devriez vous adapter à la mise en ligne en version gratuite de certains logiciel tels que SAS....

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 !

ARIMA model with possibility of adding external variables, this is a great forecast method. Can you add this model=