Method of least squares regression

Partial least squares regression (PLS) [WOLD et al., 1984] is a generalized method of least squares regression. This method uses latent variables i, 2,. .., i.e. matrix U, for separately modeling the objects in the matrix of dependent data Y, and t, t2,. .., i.e. matrix T, for separately modeling the objects in the matrix of independent data X. These latent variables U and T are the basis of the regression model. The starting points are the centered matrices X and Y ... 

Section 11.5 Numerical Curve Fitting The Method of Least Squares (Regression)... 

Once the type of curve had been chosen, trends were calculated by the method of least-squares regression. This was done directly in the case of linear growth, using the equation... 

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