Last data update: 2014.03.03
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R: Pitprops correlation data
Pitprops correlation data
Description
The pitprops data is a correlation matrix that was calculated from 180 observations. There are 13
explanatory variables.
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.
Results
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