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as labels and fits against number of effective paramaters.
T3dimensionalityplot(A, n, m, p)
A
-mode, number of components for the B
-mode, number of components for the C
-mode, goodness of fit (%), total number of componentsA
-mode entitiesB
-mode entitiesC
-mode entitiesT3
, DimSelector
data(Bus)
# Fit values of T3 with different numbers of components (from 1 to 4 for the A-mode,
# from 1 to 3 for the B-mode, from 1 to 5 for the C-mode)
FitT3 <- T3runsApproxFit(Bus,7,5,37,4,3,5)
T3dimensionalityplot(FitT3,7,5,37)
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