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Also includes the HJ-biplot of\nGalindo (1986)\n,\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, and imputation of missing\nvalues by iterative low-rank approximation following Gabriel\nand Zamir (1979) . The\ncanonical biplot, also known as the multivariate analysis of\nvariance (MANOVA) biplot, follows Amaro, Vicente-Villardon and\nGalindo (2004) .\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, computed consistently in the\nscale of the within-groups covariance matrix. 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