# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "n4m" in publications use:' type: software title: 'n4m: Portable Partial Least Squares and NIRS Engine' version: 0.99.0 doi: 10.32614/CRAN.package.n4m abstract: Implements a portable Partial Least Squares (PLS) and Near-Infrared Spectroscopy (NIRS) engine. Provides fit/predict wrappers for the shipped PLS regression solvers (NIPALS, SIMPLS, SVD, kernel, wide-kernel, orthogonal-scores, power, randomized SVD, PCR), variants (sparse SIMPLS, CPPLS, weighted, robust, ridge, continuum, multi-block, GLM, MIR), adaptive AOM-PLS and POP-PLS operator selection, variable-selection methods (SPA, CARS, GA, random frog, stability selection, VIP), diagnostics (Hotelling T2, Q residuals, DModX), and calibration transfer (PDS, DS). The C++17 implementation is vendored and compiled from source at install time; no external system libraries are required. authors: - family-names: Beurier given-names: Gregory email: gregory.beurier@cirad.fr repository: https://gbeurier.r-universe.dev repository-code: https://github.com/GBeurier/nirs4all-methods commit: 288e2a888054663484f332ee2a69209c2bb071d2 url: https://github.com/GBeurier/nirs4all-methods date-released: '2026-05-20' contact: - family-names: Beurier given-names: Gregory email: gregory.beurier@cirad.fr