
nlmdl
 Referenced in 116 articles
[sw27811]
 univariate nonlinear regression model and generalized least squares estimates for a multivariate nonlinear regression model ... implicit form, it computes threestage leastsquares estimates, TSLS option, and for nonlinear dynamic...

pls
 Referenced in 31 articles
[sw04365]
 Partial Least Squares and Principal Component regression , Multivariate regression methods Partial Least Squares Regression (PLSR ... Principal Component Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS...

LIBRA
 Referenced in 28 articles
[sw10553]
 ROBPCA), Principal Component Regression (RPCR), Partial Least Squares Regression (RSIMPLS), classification (RDA, RSIMCA), clustering, outlier...

mboost
 Referenced in 62 articles
[sw07331]
 functions utilizing componentwise (penalised) least squares estimates or regression trees as baselearners...

gbm
 Referenced in 50 articles
[sw07994]
 gradient boosting machine. Includes regression methods for least squares, absolute loss, tdistribution loss, quantile...

bmrm
 Referenced in 22 articles
[sw11016]
 regression, quantile regression, epsilon insensitive regression, least mean square, logistic regression, least absolute deviation regression...

rms
 Referenced in 90 articles
[sw04532]
 least squares for serially or spatially correlated observations, generalized linear models, and quantile regression...

lars
 Referenced in 41 articles
[sw08165]
 package lars: Least Angle Regression, Lasso and Forward Stagewise. Efficient procedures for fitting an entire ... cost of a single least squares fit. Least angle regression and infinitesimal forward stagewise regression...

Bolasso
 Referenced in 28 articles
[sw31649]
 bootstrap. We consider the leastsquare linear regression problem with regularization by the l1norm...

Statistics Toolbox
 Referenced in 18 articles
[sw10157]
 analyzing, and modeling data. You can use regression or classification for predictive modeling, generate random ... regularization and shrinkage, or use partial least squares regression. The toolbox provides supervised and unsupervised...

grf
 Referenced in 15 articles
[sw27871]
 currently provides methods for nonparametric leastsquares regression, quantile regression, and treatment effect estimation...

spls
 Referenced in 10 articles
[sw09507]
 package spls: Sparse Partial Least Squares (SPLS) Regression and Classification. This package provides ... functions for fitting a Sparse Partial Least Squares Regression and Classification...

gglasso
 Referenced in 17 articles
[sw14361]
 grouplasso penalized least squares, logistic regression, Huberized SVM and squared...

ADE4
 Referenced in 8 articles
[sw14077]
 polynomial regression, multiple and PLS (partial least squares) regression and orthogonal regression (principal component regression...

Systemfit
 Referenced in 13 articles
[sw08894]
 Least Squares (OLS), Weighted Least Squares (WLS), Seemingly Unrelated Regressions (SUR), TwoStage Least Squares...

xtscc
 Referenced in 7 articles
[sw37339]
 Robust standard errors for panel regressions with crosssectional dependence. I present a new Stata ... pooled or dinary leastsquares/weighted leastsquares regression and fixedeffects (within) regression models...

plsRglm
 Referenced in 4 articles
[sw12196]
 plsRglm: Partial Least Squares Regression for Generalized Linear Models. Provides (weighted) Partial least squares Regression...

PERMON
 Referenced in 5 articles
[sw16719]
 also arise in other disciplines like leastsquares regression, data fitting, data mining, support vector...

RegEM
 Referenced in 17 articles
[sw04943]
 replaces the conditional maximum likelihood estimation of regression parameters in the conventional EM algorithm ... provide truncated total least squares (with fixed truncation parameter) and ridge regression with generalized cross...

LSS
 Referenced in 4 articles
[sw20471]
 right censored data based on leastsquares principle. Due to lack of proper inference procedure ... software, the ordinary linear regression model is seldom used in practice for the analysis ... Ying, On leastsquares regression with censored data, Biometrika ... failure time model based on the leastsquares principle. The program is userfriendly...