Online Robust Reduced-Rank Regression Estimation R package RRRR version 1.1.1 Methods for estimating online robust reduced-rank regression. The Gaussian maximum likelihood estimation method is described in Johansen, S. (1991) <doi:10.2307/2938278>. The majorisation-minimisation estimation method is partly described in Zhao, Z., & Palomar, D. P. (2017) <doi:10.1109/GlobalSIP.2017.8309093>. The description of the generic stochastic successive upper-bound minimisation method and the sample average approximation can be found in Razaviyayn, M., Sanjabi, M., & Luo, Z. Q. (2016) <doi:10.1007/s10107-016-1021-7>. Software Imports: matrixcalc, expm, ggplot2, magrittr, mvtnorm, stats Suggests: lazybar, knitr, rmarkdown Yangzhuoran Fin Yang <yangyangzhuoran@gmail.com> Comprehensive R Archive Network (CRAN) Yangzhuoran Fin Yang [aut, cre] (ORCID: <https://orcid.org/0000-0002-1232-8017>), Ziping Zhao [aut] (ORCID: <https://orcid.org/0000-0002-8668-6263>) GPL-3 2023-02-24 application/tgz https://CRAN.R-project.org/package=RRRR doi:10.32614/CRAN.package.RRRR en-AU