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  "Title": "Unified Classical and Canonical Biplots",
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  "Description": "Classical and canonical biplots computed from a single\nsingular value decomposition (SVD) engine. Includes the two\nbiplots of Gabriel (1971) <doi:10.1093/biomet/58.3.453>: the\nGH-biplot, named after its row markers G and column markers H,\nwhich preserves the column metric (covariances and correlations\nbetween variables), and the JK-biplot, named after its row\nmarkers J and column markers K, which preserves the row metric\n(distances between individuals). Also includes the HJ-biplot of\nGalindo (1986)\n<https://upcommons.upc.edu/entities/publication/e17797dd-e20b-4fe5-b34a-f4cde41695ed>,\nwhich combines the row markers J and the column markers H so\nthat rows and columns are both represented with maximum\nquality. Options include configurable preprocessing,\nsupplementary rows and columns, quality of representation,\ncontributions, goodness of fit, bootstrap confidence intervals\nfollowing Nieto, Galindo, Leiva and Vicente-Galindo (2014)\n<doi:10.15446/rce.v37n2spe.47944>, and imputation of missing\nvalues by iterative low-rank approximation following Gabriel\nand Zamir (1979) <doi:10.1080/00401706.1979.10489819>. The\ncanonical biplot, also known as the multivariate analysis of\nvariance (MANOVA) biplot, follows Amaro, Vicente-Villardon and\nGalindo (2004) <https://www.redalyc.org/pdf/339/33908807.pdf>.\nIt is available for one-way designs and for two-way designs\nwith total, row, column and interaction biplots. It comes with\nmultivariate tests, pairwise comparisons with Hotelling's\nT-squared statistic, log-ratio transformations for\ncompositional data and confidence regions for the group means.\nThe regions are circles or the ellipses of Krzanowski (1989)\n<doi:10.1093/biomet/76.1.107>, computed consistently in the\nscale of the within-groups covariance matrix. Plots use base\ngraphics or 'ggplot2'.",
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  "Encoding": "UTF-8",
  "Language": "es",
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  "Date/Publication": "2026-10-29 21:14:17 UTC",
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  "_published": "2026-10-30T11:30:49.689Z",
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      "title": "Convierte un objeto 'prcomp' en un biplot de BiGaRx",
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