Determining the number of principal components using a scree plot
As we only need to retain the principal components that account for most of the variance of the original features, we can either use the Kaiser method, a scree plot, or the percentage of variation explained as the selection criteria. The main purpose of a scree plot is to graph the component analysis results as a scree plot and find where the obvious change in slope (elbow) occurs. In this recipe, we will demonstrate how to determine the number of principal components using a scree plot.
Getting ready
Ensure you have completed the previous recipe by generating a principal component object and saving it in variable eco.pca.
How to do it…
Perform the following steps to determine the number ...
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