Computation of the International Roughness Index (IRI) given a
    longitudinal road profile. The IRI can be calculated for a single road segment
    or for a sequence of segments with a fixed length (e. g. 100m). For the latter,
    an overlap of the segments can be selected. The IRI and likewise the algorithms
    for its determination are defined in Sayers, Michael W; Gillespie, Thomas D;
    Queiroz, Cesar A.V. 1986. The International Road Roughness Experiment (IRRE) :
    establishing correlation and a calibration standard for measurements. World
    Bank technical paper; no. WTP 45. Washington, DC : The World Bank. (ISBN
    0-8213-0589-1) available from <http://documents.worldbank.org/curated/en/326081468740204115>.

Provides robust outlier detection techniques for identifying
    anomalies in multivariate data, with a focus on methods that remain 
    effective under non-Gaussian distributions. For more details see 
    Saluja, Parlak, and Mejia (2026+) <doi:10.48550/arXiv.2505.11806>.

Multivariate regression methodologies including
    classical reduced-rank regression (RRR)
    studied by Anderson (1951) <doi:10.1214/aoms/1177729580> and
    Reinsel and Velu (1998) <doi:10.1007/978-1-4757-2853-8>,
    reduced-rank regression via adaptive nuclear norm penalization
    proposed by Chen et al. (2013) <doi:10.1093/biomet/ast036> and
    Mukherjee et al. (2015) <doi:10.1093/biomet/asx080>,
    robust reduced-rank regression (R4) proposed by
    She and Chen (2017) <doi:10.1093/biomet/asx032>,
    generalized/mixed-response reduced-rank regression (mRRR) proposed by
    Luo et al. (2018) <doi:10.1016/j.jmva.2018.04.011>,
    row-sparse reduced-rank regression (SRRR) proposed by
    Chen and Huang (2012) <doi:10.1080/01621459.2012.734178>,
    reduced-rank regression with a sparse singular value decomposition (RSSVD)
    proposed by Chen et al. (2012) <doi:10.1111/j.1467-9868.2011.01002.x>
    and sparse and orthogonal factor regression (SOFAR) proposed by
    Uematsu et al. (2019) <doi:10.1109/TIT.2019.2909889>.