https://doi.org/10.1351/goldbook.10159
Least squares regression in which a nonnegative constant is associated with each value of the dependent variable.
Notes:
- The nonnegative constants are called weights.
- If the only source of dispersion in the dependent variable is normally distributed, the weights are the inverse of the variance of each value.
- It is assumed the weights are known exactly.