Constrained least-squares function. The constraint included ensures that the sum of the estimated coefficients is equal to 1 and the coefficients are positive.
constrained_lm(y, X, tol = 1e-12)
| y | A column matrix with the y values |
|---|---|
| X | The design matrix of the problem |
| tol | A numeric value with the tolerance specified to avoid numerical instability during the solution of the least-squares problem. |
This function returns a numeric vector with the values of the estimated coeffcicients.
Other mixing functions: m3_mixing_model,
mix_model,
plot_m3_mixing_results,
select_end_members,
uncertainty_m3_mixing_model