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OmicsPLS  

Data Integration with Two-Way Orthogonal Partial Least Squares
View on CRAN: Click here


Download and install OmicsPLS package within the R console
Install from CRAN:
install.packages("OmicsPLS")

Install from Github:
library("remotes")
install_github("cran/OmicsPLS")

Install by package version:
library("remotes")
install_version("OmicsPLS", "2.1.0")



Attach the package and use:
library("OmicsPLS")
Maintained by
Said el Bouhaddani
[Scholar Profile | Author Map]
First Published: 2017-05-09
Latest Update: 2021-05-19
Description:
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 the software article by el Bouhaddani et al (2018) , and Trygg and Wold (2003) . It also performs Sparse Group (Penalized) O2PLS, see Gu et al (2020) and cross-validation for the degree of sparsity.
How to cite:
Said el Bouhaddani (2017). OmicsPLS: Data Integration with Two-Way Orthogonal Partial Least Squares. R package version 2.1.0, https://cran.r-project.org/web/packages/OmicsPLS. Accessed 30 Apr. 2025.
Previous versions and publish date:
1.0.1 (2017-05-09 09:15), 1.0.2 (2017-07-08 23:18), 1.0.3 (2017-08-08 01:29), 1.1.0 (2018-01-22 12:52), 1.2.0 (2019-07-24 23:30), 2.0.2 (2021-05-19 11:40)
Other packages that cited OmicsPLS R package
View OmicsPLS citation profile
Other R packages that OmicsPLS depends, imports, suggests or enhances
Complete documentation for OmicsPLS
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