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...

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...

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...

Very useful in geosciences.

The inconsistency vector in AHP gives information about the inconsistency which must be linked to the multidimensionality of the method.

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) ...

The quality of an ANCOVA depends on the heteroscedasticity and the normality of residuals. Currently, these two aspects are not part of the output of the ANCOVA analysis. They have to be manually calculated (in the basic version for normality, i...

MDS is a form of a PCA- often used in sensory science. The MDS uses the input of a similarity/dissimilarity matrix to obtain a 2-D visualization of the similarities and differences between products/subjects based on their proximity to one another ...

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...

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.