Abstract
In regression analysis (Chap. 4), variables are classified as dependent and explanatory variables . Such a distinction does not exist in principal component analysis (PCA) , which is introduced in this chapter.
The original version of this chapter was revised: Belated corrections have been incorporated. The erratum to this chapter is available at https://doi.org/10.1007/978-981-10-2341-5_17
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Adachi, K. (2016). Principal Component Analysis (Part 1). In: Matrix-Based Introduction to Multivariate Data Analysis. Springer, Singapore. https://doi.org/10.1007/978-981-10-2341-5_5
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DOI: https://doi.org/10.1007/978-981-10-2341-5_5
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