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Linear least squares
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#	Item
261	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
262	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
263	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
264	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
265	Journal of Machine Learning Research1490 Submitted 8/09; Revised 1/10; Published 4/10 Training and Testing Low-degree Polynomial Data Mappings via Linear SVM Add to Reading List Source URL: www.csie.ntu.edu.tw Language: English - Date: 2010-08-15 03:30:50 Statistical classification Abstract algebra Linear algebra Support vector machines Polynomial Kernel trick Vector space Least squares support vector machine Algebra Statistics Mathematics
266	g02 – Correlation and Regression Analysis g02ecc NAG C Library Function Document nag_cp_stat (g02ecc) Add to Reading List Source URL: www.softintegration.com Language: English - Date: 2004-10-25 19:49:07 Partition of sums of squares Linear regression Total sum of squares Residual sum of squares Coefficient of determination Errors and residuals in statistics Statistics Regression analysis Least squares
267	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
268	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.at.r-project.org 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
269	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: dirichlet.mat.puc.cl 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
270	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.stat.auckland.ac.nz 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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