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. 2020 May 28;11:629. doi: 10.3389/fpls.2020.00629

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Copyright © 2020 Díaz-Rueda, Franco-Navarro, Messora, Espartero, Rivero-Núñez, Aleza, Capote, Cantos, García-Fernández, de Cires, Belaj, León, Besnard and Colmenero-Flores.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Principal Component Analysis (PCA) of morphological parameters of wild olive subspecies. Data concerning morphological parameters were converted into a matrix of numerical values. The missing data were interpolated using the “Mice” package as a preliminary step to the calculation of the main components using “Prcomp.” In (A) the two main components of variability, explaining here 66.5% of the total variability, were identified using the “Fviz_eig (res.pca)” algorithm and the results were plotted in a graphic. In (B) the contribution of each variable is depicted in the two main components previously represented in (A).