It s great that you have the SVM included but in order to be actually useful for research these are the things that are needed for optimum model selection. Now the models are not optimized. 1. Cross-Validation: you need to add a k-fold cross-vali...

Dear scientists, I am doing PCA and Cluster analysis of water samples using XLSTAT 2018. To use PCA and cluster analysis, many researchers suggest that it is needed to normalization original data. In my case, I used the standardized method to tran...

We do a lot of ranking. From the ranking study, we can calculate r-index. Also d prime can be calculated from r-index. I believe there is a package in R already exist. It would be good to add this to XLSTAT.

In time series analysis, dynamic time warping (DTW) is one of the algorithms for measuring similarity between two temporal sequences, which may vary in speed. The ability to analyze and then cluster times series based on dynamic time warping wou...

useful to differentiate between the points on the plot when there are several points. Makes it look aesthetically pleasing. A legend which shows which colored point belongs to which category. It is better than data labels because if the points are...

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...

When performing the Kruskal-Wallis analysis of variance on k samples, up until now, you can choose between Dunn, Conover-Iman and Steel-Dwass-Critchlow-Fligner with the addition of Bonferroni correction (for the first two mentioned, respectively) ...

In the {Significance by cell (Fisher's exact test)} table, we can only get < or >.It would be valuable to have the corresponding p-values per cell.

Very useful in geosciences.