I think will be very interesting if the NIPALS computation will be possible in all missing data selection

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

Recreational water quality standards in the U.S. are based on geometric mean concentrations. It would be helpful to have an option to display the geometric mean instead of the average on boxplots.

Spatial Autocorrelation Indices (e.g Moran's I) are mainstream of spatial statistics that are worth being implemented in XLSTAT software. They are useful for ecological studies.

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...

important to know how many subjects are at risk at each major time interval. I have to look this up in the table and add it manually for each group being analyzed.

BIC is a good complement to AIC to select parcimonious models

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...

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.

In the procedure Similarity /Dissimilarity matrices but also in Cluster Analysis it is possible to use a variety of similarity and dissimilarity measures. Choosing the right one is most important. To understand all these measures it would be han...