pitprops

0th

Percentile

Pitprops correlation data

The pitprops data is a correlation matrix that was calculated from 180 observations. There are 13 explanatory variables.

Keywords
datasets
Usage
data(pitprops)
Details

Jeffers (1967) tried to interpret the first six PCs. This is a classical example showing the difficulty of interpreting principal components.

References

Jeffers, J. (1967) "Two case studies in the application of principal component", Applied Statistics, 16, 225-236.

Aliases
  • pitprops
Documentation reproduced from package elasticnet, version 1.02, License: GPL version 2 or newer

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