In
statistics and
mathematics,
linear least squares is an approach fitting a
mathematical or
statistical model to
data in cases where the idealized value provided by the model for any data point is expressed linearly in terms of the unknown
parameters of the model. The resulting fitted model can be used to
summarize the data, to
predict unobserved values from the same system, and to understand the mechanisms that may underlie the system.