The analysis was carried out using the R package <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">Stylo</hi> (see Eder / Rybicki / Kestemont 2016). For each iteration, the distances between test set and training set were saved in the tabular form provided by the package. At the end of the process, mean values were calculated by sub-grouping the combinations by each TSZ text. Notwithstanding the employment of a high-standard computational power (provided by GWDG, University of Göttingen), a first experiment using 50–500 most frequent words (MFW) and Burrows’s Delta distance took more than one week to be completed (see Figure 3). However, when repeating the experiment with only one-tenth of the combinations (i.e. 37,674 iterations, randomly selected), results were rather identical (see Figure 4) and the process took less than one day. When the experiment was repeated without any combination, results were extremely noisier (see Figure 5), thus confirming that the combinatory design was able to better discern authorial signals.