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# Kuhn M., Johnson K. Applied Predictive Modeling. — Springer, 2013. — 600 pp. — ISBN 978-1-4614-6848-6. — URL: http://git.psylab.info/r-books/downloads/KuhnJohnson2013.pdf.
# Lacus S. M. Simulation and Inference for Stochastic Differential Equations. With R Examples. — Springer, 2008. — 286 pp. — (Springer Series in Statistics). — ISBN 978-0-387-75838-1. — URL: http://git.psylab.info/r-books/downloads/Lacus2008.pdf.
# Lamigueiro O. P. Displaying Time Series, Spatial, and Space-Time Data with R. — Chapman, Hall/CRC, 2014. — 208 pp. — (Chapman & Hall/CRC The R Series). — ISBN 978-1-4665-6522-7. — URL: http://git.psylab.info/r-books/downloads/Lamigueiro2014.pdf; http://git.psylab.info/r-books/downloads/Lamigueiro2014.zip.
# Lantz B. Machine Learning with R. — Packt Publishing, 2013. — 396 pp. — ISBN 978-1-78216-214-8. — URL: http://git.psylab.info/r-books/downloads/Lantz2013.pdf; http://git.psylab.info/r-books/downloads/Lantz2013.zip.
# Lavine M. L. Introduction to Statistical Thought. — 2013. — 463 pp. — URL: http://git.psylab.info/r-books/downloads/Lavine2013.pdf; http://git.psylab.info/r-books/downloads/Lavine2013.zip.
