Reply to “On the Harker Variation Diagrams; …” by J.A. Cortés

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Colours and Cocktails: Compositional Data Analysis 2013 Lancaster Lecture (2014, background): “…(hereafter referred to as the Principles) including, in particular, subcompositional coherence, (for recent summaries of the Principles see Aitchison & Egozcue 2005; Egozcue 2009; Egozcue & PawlowskyGlahn 2011) and (iii) Aitchison’s (2003) dismissal of the then known alternative approaches.”
Compositional data: the sample space and its structure (2019, background): “The concept of composition can be formalized in the following definition (Barceló-Vidal and Martín-Fernández 2016; Pawlowsky-Glahn et al. 2015b; Egozcue 2009; Barceló-Vidal et al. 2001).”
Exploring Compositional Data with the CoDa-Dendrogram (2011, background): “These points match the so called principles of compositional data analysis (Aitchison, 1986; Aitchison and Egozcue, 2005; Egozcue, 2009).”
Bayesian-multiplicative treatment of count zeros in compositional data sets (2015, methodology): “This principle is important in CoDa, because one of the first steps when preprocessing the data set is the amalgamation of some categories which would affect the posterior Bayes estimates.”