Partial least squares regression (PLS regression) is a statistical method that bears some relation to principal components regression; instead of finding...

application Line fitting Nonlinear least squares Regularized least squares Simple linear regression Partial least squares regression Linear function Weisstein...

statistics, ordinary least squares (OLS) is a type of linear least squares method for choosing the unknown parameters in a linear regression model (with fixed...

The partial least squares path modeling or partial least squares structural equation modeling (PLS-PM, PLS-SEM) is a method for structural equation modeling...

Weighted least squares (WLS), also known as weighted linear regression, is a generalization of ordinary least squares and linear regression in which knowledge...

The method of least squares is a parameter estimation method in regression analysis based on minimizing the sum of the squares of the residuals (a residual...

In applied statistics, total least squares is a type of errors-in-variables regression, a least squares data modeling technique in which observational...

regression, (ii) threshold regression, (iii) smooth regression, (iv) logistic link regression, (v) Box–Cox transformed regressors ( m ( x , θ i ) = θ 1 +...

(as with least absolute deviations regression), or by minimizing a penalized version of the least squares cost function as in ridge regression (L2-norm...

variables and a dependent variable. Standard types of regression, such as ordinary least squares, have favourable properties if their underlying assumptions...