Partial least squares regression (PLS regression) is a statistical method that bears some relation to principal components regression; instead of finding...
23 KB (2,928 words) - 06:06, 19 April 2024
application Line fitting Nonlinear least squares Regularized least squares Simple linear regression Partial least squares regression Linear function Weisstein...
34 KB (5,382 words) - 19:37, 18 February 2024
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...
64 KB (8,935 words) - 02:22, 18 May 2024
Weighted least squares (WLS), also known as weighted linear regression, is a generalization of ordinary least squares and linear regression in which knowledge...
13 KB (2,232 words) - 05:28, 14 June 2023
The partial least squares path modeling or partial least squares structural equation modeling (PLS-PM, PLS-SEM) is a method for structural equation modeling...
8 KB (923 words) - 00:37, 6 January 2024
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...
38 KB (5,493 words) - 12:12, 31 May 2024
In applied statistics, total least squares is a type of errors-in-variables regression, a least squares data modeling technique in which observational...
20 KB (3,293 words) - 11:06, 20 May 2024
regression, (ii) threshold regression, (iii) smooth regression, (iv) logistic link regression, (v) Box–Cox transformed regressors ( m ( x , θ i ) = θ 1 +...
28 KB (4,538 words) - 09:54, 25 April 2024
(as with least absolute deviations regression), or by minimizing a penalized version of the least squares cost function as in ridge regression (L2-norm...
70 KB (9,686 words) - 05:47, 13 May 2024
variables and a dependent variable. Standard types of regression, such as ordinary least squares, have favourable properties if their underlying assumptions...
21 KB (2,642 words) - 07:42, 24 May 2024