Abstract
SIMCA-P is a kind of user-friendly software developed by Umetrics, which is mainly used for the methods of principle component analysis (PCA) and partial least square (PLS) regression. This paper introduces the main glossaries, analysis cycle and basic operations in SIMCA-P via a practical example. In the application section, this paper adopts SIMCA-P to estimate the PLS model with qualitative variables in independent variables set and applies it in the stand storm prevention in Beijing. Furthermore, this paper demonstrates the advantage of lowering the wind erosion by Conservation Tillage method and shows that Conservation Tillage is worth promotion in Beijing sand storm prevention.
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References
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Zang, Y.: Experimental Study on Soil Erosion by Wind under Conservation Tillage, 19(2), 56–60 (2003)
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© 2010 Springer-Verlag Berlin Heidelberg
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Wu, Z., Li, D., Meng, J., Wang, H. (2010). Introduction to SIMCA-P and Its Application. In: Esposito Vinzi, V., Chin, W., Henseler, J., Wang, H. (eds) Handbook of Partial Least Squares. Springer Handbooks of Computational Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32827-8_33
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DOI: https://doi.org/10.1007/978-3-540-32827-8_33
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32825-4
Online ISBN: 978-3-540-32827-8
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