XLSTAT 2008.4: Innovation again
Addinsoft continues its efforts to constantly innovate by offering news tools oriented towards applications.
After releasing the EasyPoints tool in March, useful to any Excel user, we bring a new and unique feature in XLSTAT-ADA: PLS-CCA. PLS-CCA is a new way to do canonical correspondence analysis (CCA) with an automatic variable selection based on PLS regression. Although CCA is mostly used by ecologists, we do think CCA should also be used in geo-marketing or in sensory analysis as it allows to relate measured dimensions to a contingency table.
Survival analysts will be pleased to see the Cox regression added to the XLSTAT-Life module. XLSTAT-Life users with an active maintenance plan have a free access to that upgrade.
This module focuses on Analysis of Variance, but this technique makes assumptions about the underlying distributions in our data
This course covers the excellent features in XLSTAT for investigating, visualising and modelling data sets with measurements on many variables.
This short course delivered online will show consumer scientists how to use partial least squares in XLSTAT for relating consumer acceptability to sensory/analytic measures.