Tools for Teaching and Learning OLS Regression

Tools for teaching and learning ordinary least squares regression. Includes comprehensive regression output, heteroskedasticity tests, collinearity diagnostics, residual diagnostics, measures of influence, model fit assessment and variable selection procedures.


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Reference manual

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install.packages("olsrr")

0.3.0 by Aravind Hebbali, 3 months ago


https://rsquaredacademy.github.io/olsrr/, https://github.com/rsquaredacademy/olsrr


Report a bug at https://github.com/rsquaredacademy/olsrr/issues


Browse source code at https://github.com/cran/olsrr


Authors: Aravind Hebbali [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports ggplot2, gridExtra, graphics, dplyr, magrittr, purrr, tibble, tidyr, nortest, goftest, Rcpp

Suggests testthat, covr, knitr, rmarkdown

Linking to Rcpp


See at CRAN