Although there are several good books on principal component methods (PCMs) and related topics, we felt that many of them are either too theoretical or too adva

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R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret a

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Discovering knowledge from big multivariate data, recorded every days, requires specialized machine learning techniques. This book presents an easy to use pract