Principal Component Analysis

Dimension Reduction Techniques applied in R


Author

Affiliation

N.F. Katzke

 

Published

Sept. 8, 2024

Citation

Katzke, 2024


Dimension Reduction techniques

This practical is divided into two parts.

First I show you how to fit PCA and factor analysis models in R.

Second, we do a practical application on currency data - fitting a linear regression using the components derived from the reduced dimension.

Class Video

Footnotes

    Citation

    For attribution, please cite this work as

    Katzke (2024, Sept. 9). Financial Econometrics Course: Principal Component Analysis. Retrieved from https://www.fmx.nfkatzke.com/posts/2020-08-15-practical-4/

    BibTeX citation

    @misc{katzke2024principal,
      author = {Katzke, N.F.},
      title = {Financial Econometrics Course: Principal Component Analysis},
      url = {https://www.fmx.nfkatzke.com/posts/2020-08-15-practical-4/},
      year = {2024}
    }