. Author manuscript; available in PMC: 2018 Mar 15.

Published in final edited form as: Chemometr Intell Lab Syst. 2016 Dec 23;162:10–20. doi: 10.1016/j.chemolab.2016.12.010

Table 1.

Summary of scoring metric and consistency algorithm.

1. Calculate inter-spectral distances D_ij,k (Fig. 1d)

2. Calculate the average diameter distances D̑_i,k (Fig. 1e)

3. Fit D̑_i,k to the chosen distribution C_k for each Lab x_i (Fig. 1f)

4. Calculate Z matrix (Fig. 1g)

5. Perform PCA on Z (Fig. 1g)

6. Identify the L principal components (Fig. 1g)

7. Calculate projected distances ||T_i,L|| for each laboratory (Fig. 1g).

a. Fit ||T_i,L|| to the chosen distribution C̑

b. Calculate projected distance scores Z̑_i

c. Remove data set i if Z̑_i > Z̑₉₅ and go to step 7a