Usually, you can reduce the correlations between the coefficients by transforming the components to pseudo-components. Pseudo-components, in effect, rescale the constrained data area so the minimum amount allowed (the lower bound) of each component is zero.
The following table shows two components expressed in amounts, proportions, and pseudo-components. Suppose the total mixture is 50 ml. Let X1 and X2 be the amount scale. Thus X1 + X2 = 50. Suppose X1 has a lower bound of 20 (this means that the upper bound of X2 is 50 minus 20, or 30). The following are some points on the three scales:
| Amounts | Proportions | Pseudo-components | |||
|---|---|---|---|---|---|
| X1 | X2 | X1 | X2 | X1 | X2 |
| 50 | 0 | 1.0 | 0.0 | 1.0 | 0.0 |
| 20 | 30 | 0.4 | 0.6 | 0.0 | 1.0 |
| 35 | 15 | 0.7 | 0.3 | 0.5 | 0.5 |