The data set and R code to reproduce the example are available here. In the 2017 JRSSB paper, a data set extracted from the CentERdata LISS-panel, see features as an example. A framework is presented for various variable-generating distributions and the expected amount of explained variation is derived. In Schouten (2015, Discussion paper 2015-15, CBS, Den Haag, The Netherlands) and Schouten (2017, JRSS series B), R-indicators and coefficients of variation (CV) are evaluated under random generation of auxiliary variables. Tools Random generation of auxiliary variables
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