Uses of Package
dev.nm.stat.regression.linear

Packages that use dev.nm.stat.regression.linear

Package	Description
dev.nm.stat.regression.linear	Linear regression problems, fitted coefficients, and diagnostics.
dev.nm.stat.regression.linear.glm
dev.nm.stat.regression.linear.glm.quasi
dev.nm.stat.regression.linear.lasso
dev.nm.stat.regression.linear.lasso.lars
dev.nm.stat.regression.linear.logistic
dev.nm.stat.regression.linear.ols
dev.nm.stat.regression.linear.panel
dev.nm.stat.regression.linear.residualanalysis

Classes in dev.nm.stat.regression.linear used by dev.nm.stat.regression.linear

Class and Description
LMBeta Beta coefficients are the outcomes of fitting a linear regression model.
LMProblem This is a linear regression or a linear model (LM) problem.

Classes in dev.nm.stat.regression.linear used by dev.nm.stat.regression.linear.glm

Class and Description
LinearModel A linear model provides fitting and the residual analysis (goodness of fit).
LMBeta Beta coefficients are the outcomes of fitting a linear regression model.
LMProblem This is a linear regression or a linear model (LM) problem.

Classes in dev.nm.stat.regression.linear used by dev.nm.stat.regression.linear.glm.quasi

Class and Description
LinearModel A linear model provides fitting and the residual analysis (goodness of fit).
LMBeta Beta coefficients are the outcomes of fitting a linear regression model.
LMProblem This is a linear regression or a linear model (LM) problem.

Classes in dev.nm.stat.regression.linear used by dev.nm.stat.regression.linear.lasso

Class and Description
LinearModel A linear model provides fitting and the residual analysis (goodness of fit).
LMBeta Beta coefficients are the outcomes of fitting a linear regression model.
LMProblem This is a linear regression or a linear model (LM) problem.

Classes in dev.nm.stat.regression.linear used by dev.nm.stat.regression.linear.lasso.lars

Class and Description
LMProblem This is a linear regression or a linear model (LM) problem.

Classes in dev.nm.stat.regression.linear used by dev.nm.stat.regression.linear.logistic

Class and Description
LinearModel A linear model provides fitting and the residual analysis (goodness of fit).
LMBeta Beta coefficients are the outcomes of fitting a linear regression model.
LMProblem This is a linear regression or a linear model (LM) problem.

Classes in dev.nm.stat.regression.linear used by dev.nm.stat.regression.linear.ols

Class and Description
LinearModel A linear model provides fitting and the residual analysis (goodness of fit).
LMBeta Beta coefficients are the outcomes of fitting a linear regression model.
LMProblem This is a linear regression or a linear model (LM) problem.

Classes in dev.nm.stat.regression.linear used by dev.nm.stat.regression.linear.panel

Class and Description
LinearModel A linear model provides fitting and the residual analysis (goodness of fit).

Classes in dev.nm.stat.regression.linear used by dev.nm.stat.regression.linear.residualanalysis

Class and Description
LMProblem This is a linear regression or a linear model (LM) problem.