PARAFAC Analysis of Fluorescence Excitation-Emission Matrices R package albatross version 0.3-9 CRAN Task View: ChemPhys (https://CRAN.R-project.org/view=ChemPhys) Perform parallel factor analysis (PARAFAC: Hitchcock, 1927) <doi:10.1002/sapm192761164> on fluorescence excitation-emission matrices: handle scattering signal and inner filter effect, scale the dataset, fit the model; perform split-half validation or jack-knifing. Modified approaches such as Whittaker interpolation, randomised split-half, and fluorescence and scattering model estimation are also available. The package has a low dependency footprint and has been tested on a wide range of R versions. Software Depends: R (>= 3.3) Imports: multiway (>= 1.0-4), CMLS, pracma, lattice, parallel, Matrix Enhances: eemR, EEM Ivan Krylov <ikrylov@laser.chem.msu.ru> Comprehensive R Archive Network (CRAN) Ivan Krylov [aut, cre] (ORCID: <https://orcid.org/0000-0002-0172-3812>), Timur Labutin [ths] (ORCID: <https://orcid.org/0000-0003-0168-6561>), Anastasia Drozdova [rev] (ORCID: <https://orcid.org/0000-0002-5547-6693>) GPL (>= 3) 2025-09-02 application/tgz https://CRAN.R-project.org/package=albatross doi:10.32614/CRAN.package.albatross