Work with Hyperspectral Data, i.e. Spectra + Meta Information (Spatial, Time, Concentration, ...) R package hyperSpec version 0.100.3 Comfortable ways to work with hyperspectral data sets. I.e. spatially or time-resolved spectra, or spectra with any other kind of information associated with each of the spectra. The spectra can be data as obtained in XRF, UV/VIS, Fluorescence, AES, NIR, IR, Raman, NMR, MS, etc. More generally, any data that is recorded over a discretized variable, e.g. absorbance = f(wavelength), stored as a vector of absorbance values for discrete wavelengths is suitable. Software Depends: R (>= 3.6.0), lattice, grid, ggplot2 (>= 2.2.0), xml2 Imports: testthat, methods, utils, latticeExtra, lazyeval, dplyr, rlang Suggests: R.matlab, deldir, rgl, plotrix, sp, baseline, compiler, inline, Rcpp, MASS, fastcluster, pls, mvtnorm, digest, reshape, devtools, R.rsp, tibble, knitr, rmarkdown Claudia Beleites <Claudia.Beleites@chemometrix.gmbh> Comprehensive R Archive Network (CRAN) Claudia Beleites [aut, cre, dtc] (ORCID: <https://orcid.org/0000-0003-1626-154X>), Valter Sergo [aut], Alois Bonifacio [ctb, dtc], Marcel Dahms [ctb], Björn Egert [ctb], Simon Fuller [ctb], Vilmantas Gegzna [aut], Rustam Guliev [ctb], Bryan A. Hanson [ctb], Michael Hermes [ctb], Martin Kammer [dtc], Roman Kiselev [ctb], Sebastian Mellor [ctb] GPL (>= 3) 2025-10-13 application/tgz https://CRAN.R-project.org/package=hyperSpec doi:10.32614/CRAN.package.hyperSpec