PLS Path Modeling with R

Book PLS Path Modeling with R, freely available in pdf format at:


12 thoughts on “PLS Path Modeling with R

  1. I’ve only read the first seventeen pages of your PDF, but I was so impressed that I had to comment. Wow! It’s well-written, interesting, and provides a great context and motivation for the field of PLS Path Modeling.

    I am something of an R packageaholic and like to collect interesting packages as an indirect way of learning a little more about the field and in case I need that tool someday. I also collect statistical/scientific PDFs (I have about 4,000 in Papers), and I have to say that your PDF would rank in my Top 10, and that leads me to believe that your package will also be near the top of my package rankings (limited only by how much latent variable stuff I actually do).

    I feel like the little boy who just got a pocket knife for Christmas and I want to run around asking people if they need anything cut.

  2. Gaston Sanchez’s PLSPM package in R is awesome ! I have been using it for my own research and teaching PLSPM in online workshops for years. This book is an invaluable addition and resource for anyone interested in learning, or using, PLS path modeling and related techniques. In fact, I teach a PLS path modeling workshop this week and will use the opportunity to promote Gaston’s work.

  3. Dear Mr. Sanchez,

    Like others above, I could not wait until after I finish the book to express my sincere thanks. Your book is such a pleasure to read. your explanations are so lucid and It makes the topic accessible. Thank you for your time and effort! I cant wait to dive back into the book and have some fun learning PLSPM.

  4. Wow Gaston, a book! I have not read it yet, but I bet (from being acquainted with your cool presentations) that it is superbly presented.

  5. Just started to have a look at PLS path modeling, and this looks like a great resource, especially together with the plspm package for R. Thanks a lot for making this available!

  6. Just a question related to the code of plsreg1 {plspm}: why do you round in the code to four digits while scaling?

    Th <- round(Th[, 1:h], 4)
    Ph <- round(Ph[, 1:h], 4)

    We would usually round on presenting results, not on calculating, right?

  7. Pingback: Partial least squares path analysis « Statistical Modeling, Causal Inference, and Social Science

  8. This looks like a great resource for PLS Path Modeling. I’m at page 20 now and enjoying this book. Thanks a lot for making this available!

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