Abstract
This chapter explores the transfer function in detail, with multiple linear regressions, and principal component analysis (PCA). Furthermore, it contains the slight description of various types of regression and emphasizes on the PCA and the calculations of principal components (PCs) in detail.
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Suryanarayana, T.M.V., Mistry, P.B. (2016). Principal Component Analysis in Transfer Function. In: Principal Component Regression for Crop Yield Estimation. SpringerBriefs in Applied Sciences and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-0663-0_2
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DOI: https://doi.org/10.1007/978-981-10-0663-0_2
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-0662-3
Online ISBN: 978-981-10-0663-0
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