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Multivariate data treatments (multiple regression models, variable ordination by multidimensional scaling, and discriminant analysis) were useful to identify the soil characteristics most significantly associated to its water repellency.
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Matrix scaling often has a distorting or simplifying effect on successive multivariate data treatment [25].
However, as the chosen analytical techniques coupled to the multivariate data treatment revealed meaningful correlations between the coins, their patina and the surrounding micro-environment, the first steps of this research are quite encouraging.
The sPCA-rSVD provides a uniform treatment of both classical multivariate data and high-dimension-low-sample-size (HDLSS) data.
It was further experimental validation that the changes in metabolic profiling were restored to their baseline values after JuA treatment according to the multivariate data analysis.
However, the spectral interpretation and treatment of this kind of multivariate data remains difficult without the use of chemometrics.
Josse, J. & Husson, F. missMDA: a package for handling missing values in multivariate data analysis.
Characterizing and displaying multivariate data.
Sarkar, D. Lattice: multivariate data visualization with R. (Springer Science & Business Media, 2008).
Uni- and multivariate data analyses were applied.
An introduction to the analysis of multivariate data.
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