The Dictionary of the Climate Debate (DCD)


principal components analysis
Definition: A mathematical technique invented in 1901 by Karl Pearson that is used to summarize data found in a large number of noisy records. The goal is to make patterns in the data more obvious and easily seen.

In a nutshell, the procedure transforms a number of possibly correlated variables into a smaller number of uncorrelated variables called principal components. The first principal component accounts for as much of the variability in the data as possible; each succeeding component accounts for as much of the remaining variability as possible.

An in-depth 132 second introduction



Notes:
1. Click here to read Real Climate's explanation of how it was used to create the hockey stick.

2. For a more detailed tutorial, click here.


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