Partial Least Square(PLS) Regression using SPSS with Graphical Output

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  • เผยแพร่เมื่อ 24 ก.ย. 2024
  • Partial Least Square(PLS) Regression using SPSS with Graphical Output:
    Partial least squares (PLS) regression is a technique that reduces the predictors to a smaller set of uncorrelated components and performs least squares regression on these components, instead of on the original data.
    I have clearly explained the PLS Regression with an example.
    Please, see the complete video and press like button and share to the video so that maximum people can benefit.
    I am offering online training and data analysis. If you are interested please contact me to my email id myeasystatistics@gmail.com

ความคิดเห็น • 5

  • @MyEasyStatistics
    @MyEasyStatistics  ปีที่แล้ว +1

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  • @alebachewalemnew339
    @alebachewalemnew339 6 ปีที่แล้ว +2

    Dear Sir, thank you for your brief and direct presentation

  • @temesgengashaw9276
    @temesgengashaw9276 7 ปีที่แล้ว +1

    Dear Dr Kumar
    I really enjoyed with your explanation. How can I download the PLS extension for PLSR model? Thank you in advance.

  • @niamhpatterson2468
    @niamhpatterson2468 4 ปีที่แล้ว

    Thanks for this. I am not getting a graph when I do this, I have all the tables but no graphical output, any ideas why? I followed everything you did.

  • @danielasamoahbrempong4161
    @danielasamoahbrempong4161 2 ปีที่แล้ว

    Thank you for the video. Please how best can I estimate the mean from a five-point Likert scale? Is it appropriate to add: 1+2+3+4+5 = 15/5 to get a mean of 3? Assume that I have transformed the ordinal data to interval and I want to conduct a one-sample t-test using this test mean of 3. Is this appropriate? Thank you.