pitprops: Pitprops correlation data
In elasticnet: Elastic-Net for Sparse Estimation and Sparse PCA
Description
Usage
Details
References
Description
The pitprops data is a correlation matrix that was calculated from 180 observations. There are 13
explanatory variables.
Usage
1
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.
elasticnet documentation built on July 1, 2020, 11:48 p.m.
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Description Usage Details References
Description
The pitprops data is a correlation matrix that was calculated from 180 observations. There are 13
explanatory variables.
Usage
1 |
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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