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The government is the sole shareholder in the PCA; about one-third of Panama's GDP comes from canal-related revenues.
These variables had been hidden in the PCA results.
In the PCA, a correlation matrix was used.
D-optimal design was applied to the first four principal components derived in the PCA.
Clearly, there is no unique demarcation between these two groups in the PCA space.
We used both socio-economic variables and income from different crop enterprises in the PCA.
More than 99%% of the feature information is kept in the PCA process.
The Hierarchical Cluster Analysis confirms the correlations observed in the PCA.
Symbols in the PCA plot are identified by treatment codes and days of exudate collection.
This can introduce bias in the PCA reconstruction, especially when strong non-linear relationships characterize the data sample.
The structural variance is correlated with the variance in properties and structure/property maps are produced in the PCA space.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com