Multiblock data analysis with the RGCCA package

Abstract. Multiblock component methods are essential tools for exploring complex relationships between
multiple sets of variables. Although various statistical methods and dedicated software for
multiblock data analysis exist, Regularized Generalized Canonical Correlation Analysis (RGCCA)
offers a unified and versatile framework that consolidates more than six decades of multiblock
component methods. During this half-day practical session, we will present the RGCCA framework 
and the RGCCA package, which implements this framework and goes beyond by providing graphical 
outputs and statistical tools to assess the robustness and significance of the analysis. The usefulness 
of the RGCCA package will be illustrated through two real-world case studies. The package is freely 
available from the Comprehensive R Archive Network (CRAN) at https://CRAN.R-project.org/package=RGCCA and
from GitHub at https://github.com/rgcca-factory/RGCCA.