代码搜索：OLS
找到约 196 项符合「OLS」的源代码
代码结果 196
www.eeworm.com/read/162188/10327891
dec ols.dec
/*
** ols.dec - Ordinary least squares regression.
** (C) Copyright 1988-1996 by Aptech Systems, Inc.
** All Rights Reserved.
**
** Global variable definitions for procedures OLS, OLSQR.
*/
d
www.eeworm.com/read/162188/10328038
src ols.src
/*
** ols.src - Least Squares Regression
** (C) Copyright 1988-1998 by Aptech Systems, Inc.
** All Rights Reserved.
**
** This Software Product is PROPRIETARY SOURCE CODE OF APTECH
** SYSTEMS, I
www.eeworm.com/read/162188/10328415
ext ols.ext
/*
** ols.ext - Ordinary least squares regression.
** (C) Copyright 1988-1996 by Aptech Systems, Inc.
** All Rights Reserved.
**
** External variable declarations for procedures OLS, OLSQR.
*/
www.eeworm.com/read/449504/7502121
ols lmarginal.ols
-2.2818639e+002 0.0000000e+000 0.0000000e+000 0.0000000e+000 0.0000000e+000 1.0000000e+000 0.0000000e+000 1.0000000e+000 0.0000000e+000 0.0000000e+000 0.0000000e+000 1.0000000e+000 1.0000
www.eeworm.com/read/449504/7502234
m ols.m
function results=ols(y,x)
% PURPOSE: least-squares regression
%---------------------------------------------------
% USAGE: results = ols(y,x)
% where: y = dependent variable vector (nobs x 1)
www.eeworm.com/read/441462/7670175
m ols.m
function [F,error] = ols(X,Y)
% [F,error] = ols(X,Y)
%
% Orthogonal Least Squares (OLS)
%
% Input parameters:
% - X: Input data block (m x nx)
% - Y: Output data block (m x nx)
% Retu
www.eeworm.com/read/440842/7680260
ols lmarginal.ols
-2.2818639e+002 0.0000000e+000 0.0000000e+000 0.0000000e+000 0.0000000e+000 1.0000000e+000 0.0000000e+000 1.0000000e+000 0.0000000e+000 0.0000000e+000 0.0000000e+000 1.0000000e+000 1.0000
www.eeworm.com/read/440842/7680355
m ols.m
function results=ols(y,x)
% PURPOSE: least-squares regression
%---------------------------------------------------
% USAGE: results = ols(y,x)
% where: y = dependent variable vector (nobs x 1)
www.eeworm.com/read/396834/8087944
m ols.m
function results=ols(y,x)
% PURPOSE: least-squares regression
%---------------------------------------------------
% USAGE: results = ols(y,x)
% where: y = dependent variable vector (nobs x 1)
%
www.eeworm.com/read/492929/6414156
ols lmarginal.ols
-2.2818639e+002 0.0000000e+000 0.0000000e+000 0.0000000e+000 0.0000000e+000 1.0000000e+000 0.0000000e+000 1.0000000e+000 0.0000000e+000 0.0000000e+000 0.0000000e+000 1.0000000e+000 1.0000