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Ordinary least squares
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151	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: cran-mirror.cs.uu.nl Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
152	Tutorial 1 Getting Started with Correlated Regression (CCR) in XLSTAT-CCR Component Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2013-04-17 11:16:19 Standardized coefficient Partial least squares regression Ordinary least squares Least squares XLSTAT Unit-weighted regression Statistics Regression analysis Linear regression
153	Biometrika (2007), 94, 3, pp. 553–568  2007 Biometrika Trust Printed in Great Britain doi:biomet/asm053 Advance Access publication 5 August 2007 Add to Reading List Source URL: www.personal.psu.edu Language: English - Date: 2007-09-03 12:21:02 Estimation theory Parametric statistics Least squares Linear regression Ordinary least squares Normal distribution Estimator Multivariate normal distribution Variance Statistics Regression analysis Econometrics
154	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: cran.csiro.au Language: English Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
155	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: watson.nci.nih.gov Language: English - Date: 2010-12-19 04:13:33 Parametric statistics Estimation theory Time series analysis Bootstrapping Plot Q-Q plot Ordinary least squares Linear regression Errors and residuals in statistics Statistics Regression analysis Econometrics
156	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: cran.univ-lyon1.fr Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
157	PDF Document Add to Reading List Source URL: www.stata-press.com Language: English - Date: 2006-08-01 09:12:22 Durbin–Watson statistic Heteroscedasticity Newey–West estimator Autocorrelation Dummy variable Ordinary least squares Tobit model Least squares Linear regression Statistics Regression analysis Econometrics
158	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: cran.itam.mx Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression
159	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.md.tsukuba.ac.jp Language: English - Date: 2010-12-19 04:13:33 Parametric statistics Estimation theory Time series analysis Bootstrapping Plot Q-Q plot Ordinary least squares Linear regression Errors and residuals in statistics Statistics Regression analysis Econometrics
160	Vito Ricci - R Functions For Regression Analysis – R FUNCTIONS FOR REGRESSION ANALYSIS Here are some helpful R functions for regression analysis grouped by their goal. The name of packa Add to Reading List Source URL: cran.uib.no Language: English - Date: 2005-10-14 13:13:35 Local regression Q-Q plot Breusch–Godfrey test Least squares Durbin–Watson statistic Ordinary least squares Robust regression Breusch–Pagan test Segmented regression Statistics Regression analysis Linear regression

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