Research Article
A Nonlinear Method for Component Separation of Dam Effect Quantities Using Kernel Partial Least Squares and Pseudosamples
| (1) | Set , , | | (2) | Initialize randomly. is equal to the column with the maximum variance in . | | (3) | | | (4) | | | (5) | | | (6) | If converges, turn to step (7); otherwise, return to step (3) | | (7) | , | | (8) | Save the data in the matrices: , | | (9) | Set . If (A is the number of selected implicit variables), the loop ends; otherwise, return to (2) |
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