In contrast to canonical redundancy analysis, which examines how well the original variables can be predicted from the canonical variables, maximum redundancy analysis finds the variables that can ...

For principal components from a covariance matrix, the names of the variables containing principal component scores are PCV1, PCV2, PCV3, and so on. The output component scores are a linear ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...