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Table 4 Tucker's coefficient of congruence between the component scores (R = 5).

From: A structured overview of simultaneous component based data integration

 

PCovR GC

SCA-P

MFA

SUM-PCA

PCovR LC

LC2

STATIS

GC1

1

0.91

0.86

0.81

0.55

0.55

0.13

PCovR GC3

 

0.91

0.86

0.81

0.55

0.55

0.13

SCA-P

  

0.99

0.96

0.73

0.73

0.12

MFA

   

0.99

0.79

0.79

0.12

SUM-PCA

    

0.84

0.84

0.11

PCovR LC4

     

1

0.08

LC

      

0.08

  1. 1: Ordinary principal component analysis of GC data only
  2. 2: Ordinary principal component analysis of LC data only
  3. 3+4: Matrix-specific weights obtained by leave one out crossvalidation using the observed scores in the LC data to reproduce the scores of the GC data (PCovR GC) or the other way around (PCovR LC).