Performs the O2PLS data integration method for two datasets yielding joint and data-specific parts for each dataset. The algorithm automatically switches to a memory-efficient approach to fit O2PLS to high dimensional data. It provides a rigorous and a faster alternative cross-validation method to select the number of components, as well as functions to report proportions of explained variation and to construct plots of the results. See Trygg and Wold (2003) <doi:10.1002/cem.775> and el Bouhaddani et al (2016) <doi:10.1186/s12859-015-0854-z>.
|Author||Said el Bouhaddani, Jeanine Houwing-Duistermaat, Geurt Jongbloed, Szymon Kielbasa and Hae-Won Uh|
|Maintainer||Said el Bouhaddani <[email protected]>|
|Package repository||View on CRAN|
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