(s)PCA

Case study

For a more in depth breakdown of the functionality and usage of these functions, refer to Case Study: PCA Multidrug.

Missing values

For a more in information on missing values and the NIPALS algorithm see here.

References

1. Jolliffe I.T. (2002) Principal Component Analysis. Springer Series in Statistics, Springer, New York.
2. Shen, H. and Huang, J. Z. (2008). Sparse principal component analysis via regularized low rank matrix approximation. 99(6), 1015–1034.