Abstract
The minor principal components of a random vector x are the orthonormal linear combinations of the variables in x which have minimum variance. This fact may be used to detect interrelationships amongst the variables as well as to identify those variables which can be predicted with high accuracy from the others.-from STAR, 23(2), 1985
| Original language | English (US) |
|---|---|
| Pages (from-to) | 24-43 |
| Number of pages | 20 |
| Journal | Unknown Journal |
| State | Published - Jan 1 1983 |