Feature Screening via Adaptive Iterative Ridge (Air-HOLP and Air-OLS) R package AirScreen version 0.1.0 Implements two complementary high-dimensional feature screening methods, Adaptive Iterative Ridge High-dimensional Ordinary Least-squares Projection (Air-HOLP, suitable when the number of predictors p is greater than or equal to the sample size n) and Adaptive Iterative Ridge Ordinary Least Squares (Air-OLS, for n greater than p). Also provides helper functions to generate compound-symmetry and AR(1) correlated data, plus a unified Air() front end and a summary method. For methodological details see Joudah, Muller and Zhu (2025) <doi:10.1007/s11222-025-10599-6>. Software Imports: stats Suggests: testthat (>= 3.0.0) Ibrahim Joudah <ibrahim.joudah@mq.edu.au> Comprehensive R Archive Network (CRAN) Ibrahim Joudah [aut, cre] (ORCID: <https://orcid.org/0000-0002-0397-6266>), Samuel Muller [aut] (ORCID: <https://orcid.org/0000-0002-3087-8127>), Houying Zhu [aut] (ORCID: <https://orcid.org/0000-0002-2515-7413>) MIT + file LICENSE (https://CRAN.R-project.org/package=AirScreen/LICENSE) 2025-07-31 application/tgz https://CRAN.R-project.org/package=AirScreen doi:10.32614/CRAN.package.AirScreen