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Provided by: Creascience

Regression on Principal Components and PLS Regression

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This one-day workshop covers two advanced modeling methods used to handle common problems encountered in relating a variable to a set of explanatory variables, the interpretation of results, strengths and weaknesses and practical realization.

Upon completion of this course, participants will be able to:

  • Know the context of use for regression on principal components and partial least squares regression
  • Understand what the underlying assumptions of the techniques are
  • Construct the regression models
  • Assess the goodness-of-fit of the models to the data
  • Identify common issues in these regression models, diagnose problems and fix them
  • Interpret statistical software output

    • Training Avaliability and Delivery

    This is primarily ilt training
    computer labComputer Lab Work
    group study and discussionThis class may involve group study
    instructor led trainingThis class may be available at a classroom in Montreal, QC,
    Contact Creascience for more information
    Schedule:1 days
    Training Presented in:English
    Related Keywords:  calibration   multicollinearity   pls   press 

    Training Program Details

    • Regression on Principal Components (PCR)
      • Principle and methods
      • The essentiels of PCR
      • PCR in practice
      • Selection of principal components
      • Utilization of PCR results
      • Utilization of factor analysis instead of PCA
      • Solftware packages for PCR
      • Summary
    • Partial Least Squares PLS Regression
      • Context of use
      • Applications
      • Working with several response variables
      • Some ideas in PLS regression
      • Steps involved in the method
      • Extraction of principal components
      • Latent variables
      • One or several response variables?
    • Pratical Implementation of PLS
      • Initial Data
      • General Principle
      • Selection of principal components
      • Type of results generated by statistical software
      • Results of PLS regression : Application to the NFL data
      • Another example : The pine data
    • Conclusion
      • PLS : An alternative to multiple linear regression
      • Scope of PLS regression
      • Limitations of PLS
      • Some references

    About Creascience - Training Provider

    Creascience - Creascience offers an wide array of training sessions in statistics aimed primarily at non-statisticians. We also provide specific training courses on statistical methods aimed at statisticians. People attend our training sessions to gain basic knowledge or to deepen some specific aspects. The training sessions are offered both in our offices and on-site, depending on the client s needs. We...
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    This page was last updated on sb5 - 07/20/08 at 13:31:25 - 12:15:27