Metabolomics and Spectral Data Analysis and Mining R package specmine version 4.0.0 Provides methods for metabolomics and spectral data analysis, including data import, preprocessing, visualization, univariate and multivariate analysis, machine learning, feature selection, and pathway analysis. The package supports analytical workflows for different data types used in metabolomics and spectroscopy. Some optional functionality uses the suggested packages 'cyjShiny' and 'specmine.datasets'. The package 'specmine.datasets' is maintained separately at <https://github.com/PedroFontao/specmine.datasets>. Software Depends: R (>= 4.0.0) Imports: baseline, caret, compare, ellipse, genefilter, GGally, ggplot2, grDevices, graphics, impute, imputeTS, MASS, Matrix, methods, Metrics, narray, pcaPP, plotly, pls, RColorBrewer, readJDX, stats, utils Suggests: clusterCrit, curl, dbscan, fastICA, ggdendro, KEGGgraph, KEGGREST, knitr, MAIT, mclust, pins, qdap, qpdf, RCurl, cyjShiny, reticulate, rgl, Rtsne, rmarkdown, scatterplot3d, specmine.datasets, uwot, randomForest, xcms Pedro Fontão <pedrofontao812004@gmail.com> Comprehensive R Archive Network (CRAN) Christopher Costa [aut], Marcelo Maraschin [aut], Miguel Rocha [aut], Sara Cardoso [aut], Telma Afonso [aut], Bruno Pereira [aut], Pedro Fontão [aut, cre], C. Beleites [cph], Jie Hao [cph] GPL (>= 2) 2026-09-08 application/tgz https://CRAN.R-project.org/package=specmine doi:10.32614/CRAN.package.specmine