Introduction of kernel functions in PLS can significantly improve the explanatory power of regression. Hope it comes true in future.

Will be interesting have the possibility to decide after the calculation of the component is done how many component use for the PLS.It's exist a tool for R that is call Chemometrics agile tool (gruop of Italian chemometrics) that give the possibi...

see above

This is used a lot in Ecology, behavior and cosnervation.

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

Right now XLstat offers only an annual subscription. I have the need to use XLstat and prefer not to use other software, but with a single, small project cannot justify $1395 for a couple days worth of analyses. I'd gladly pay for a month's subscr...

BIC is a good complement to AIC to select parcimonious models

This machine learning technique is a new form of PCA that allows for determination of the set of variables that best explain two groups.https://arxiv.org/abs/1709.06716

We want to add an intensity dimensions to our attributes on a CATA question... for the moment, only CATA analyse are available on XLSTAT.The idea will be to create a CATA questionnaire, and for each attributes quoted, a JAR scale will be presented...

Since there is already a feature for doing PCAs, MFAs, etc. considering both active & supplementary data, it would be very useful adding the same feature for clustering methods as we usually use them paired up.