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Multivariate statistics
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#	Item
601	R reference card, by Jonathan Baron Parentheses are for functions, brackets are for indicating the position of items in a vector or matrix. (Here, items with numbers like x1 are user-supplied variables.) Miscellaneous Add to Reading List Source URL: cran.ism.ac.jp Language: English - Date: 2001-02-09 10:33:01 Principal component analysis Singular value decomposition Matrix Spreadsheet Factor analysis Test Statistics Multivariate statistics Data analysis
602	Göller Journal of Cheminformatics 2013, 5(Suppl 1):O14 http://www.jcheminf.com/content/5/S1/O14 ORAL PRESENTATION Open Access Add to Reading List Source URL: www.jcheminf.com Language: English Chemistry Cheminformatics Multivariate statistics Drug discovery Principal component analysis Quantitative structure–activity relationship Computational chemistry Science Statistics
603	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: cran.md.tsukuba.ac.jp Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
604	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.uni-muenster.de Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
605	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: ftp.igh.cnrs.fr Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
606	Joint Statistics Seminar The Hong Kong University of Science and Technology Principal Component Analysis: Regularization, Supervision, Application, Asymptotics by Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2014-11-11 22:31:22 Sparse PCA Dimension reduction Kernel principal component analysis Statistics Multivariate statistics Principal component analysis
607	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: cran.usthb.dz Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
608	R reference card, by Jonathan Baron Parentheses are for functions, brackets are for indicating the position of items in a vector or matrix. (Here, items with numbers like x1 are user-supplied variables.) Miscellaneous Add to Reading List Source URL: cran.salud.gob.sv Language: English - Date: 2001-02-09 10:33:01 Principal component analysis Singular value decomposition Matrix Spreadsheet Factor analysis Test Statistics Multivariate statistics Data analysis
609	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: cran.dcc.fc.up.pt Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
610	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: dssm.unipa.it Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining

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