1. n. [Reservoir Characterization]
The vector that best represents the trend of data in multiple dimensions. This is the major component of principal component analysis (PCA). In log analysis, log data plotted in the number of dimensions equal to the number of curves can be subjected to principal component analysis, replotted in PCA space and then subjected to cluster analysis to find usable electrofacies.