Simulation of Multivariate Linear Model Data R package simrel version 2.1.0 CRAN Task View: ExperimentalDesign (https://CRAN.R-project.org/view=ExperimentalDesign) Researchers have been using simulated data from a multivariate linear model to compare and evaluate different methods, ideas and models. Additionally, teachers and educators have been using a simulation tool to demonstrate and teach various statistical and machine learning concepts. This package helps users to simulate linear model data with a wide range of properties by tuning few parameters such as relevant latent components. In addition, a shiny app as an 'RStudio' gadget gives users a simple interface for using the simulation function. See more on: Sæbø, S., Almøy, T., Helland, I.S. (2015) <doi:10.1016/j.chemolab.2015.05.012> and Rimal, R., Almøy, T., Sæbø, S. (2018) <doi:10.1016/j.chemolab.2018.02.009>. Software Depends: R (>= 3.5.0) Imports: FrF2, ggplot2, gridExtra, jsonlite, magrittr, miniUI, purrr, reshape2, rstudioapi, scales, sfsmisc, shiny, tibble, tidyr, rlang, testthat Suggests: covr, knitr, pls, markdown, DoE.base Raju Rimal <raju.rimal@medisin.uio.no> Comprehensive R Archive Network (CRAN) Raju Rimal [aut, cre] (ORCID: <https://orcid.org/0000-0001-6097-0285>), Solve Sæbø [aut, ths] (Original creator of the package, ORCID: <https://orcid.org/0000-0001-8699-4592>), Kristian Hovde Liland [aut] (Contributor and coauthor of the univariate version of simrel, ORCID: <https://orcid.org/0000-0001-6468-9423>) GPL-3 2021-09-17 application/tgz https://CRAN.R-project.org/package=simrel doi:10.32614/CRAN.package.simrel