Very expanded modeling capacities

• Descriptive statistics: Marginal distributions, histograms, univariated and bivariated statistics, semantic branding etc. accompanied by a large number of graphics objects.
• Multidimensional analyses: Analysis in main components, analysis of correspondences, typologies, automatic characterization of axes, graphics editor etc.
• Predictive models: Different regression models (simple, multiple, PLS, logistics…), discriminant analysis, analysis of (co)variance, scoring functions, decision-making trees, rules of association etc.
  

For more detailed lists of statistical methods available in Coheris SPAD, download the Coheris SPAD brochure.

In addition, if you have an R open source software on your system, you can easily call all the statistical functions (practically all the methods known until now), by remaining in the very ergonomic environment of Coheris SPAD

Points forts 

• Several additional methods, both predictive and exploratory.
• Editors and galleries of graphics objects, to view the results better
• Direct call from Coheris SPAD to all the methods contained in R.

Formations Coheris SPAD data mining