# Regression

These are the available functions for regression. See each function's help topic in the TERR Language Reference for more information.

Function name | Title description
--- | ---
`.lm.fit` | General fitting for linear (regression) models
`.kappa_tri` | Compute the Exact or Estimated Condition Number
`add1.glm` | Add a Single Term to a Linear Model
`add1.lm` | Add a Single Term to a Linear Model
`anova.glm` | Analysis of Deviance for Generalized Linear Model Fits
`anova.glmlist` | Analysis of Deviance for Generalized Linear Model Fits
`cooks.distance` | Regression Deletion Diagnostics
`cooks.distance.glm` | Regression Deletion Diagnostics
`cooks.distance.lm` | Regression Deletion Diagnostics
`covratio` | Regression Deletion Diagnostics
`dfbeta` | Regression Deletion Diagnostics
`dfbeta.lm` | Regression Deletion Diagnostics
`dfbetas` | Regression Deletion Diagnostics
`dfbetas.lm` | Regression Deletion Diagnostics
`dffits` | Regression Deletion Diagnostics
`dummy.coef` | Extract Original Coefficients from a Linear Model
`dummy.coef.aovlist` | Extract Original Coefficients from a Linear Model
`dummy.coef.lm` | Extract Original Coefficients from a Linear Model
`effects` | Single Degree-of-freedom Effects from a Fitted Model
`effects.glm` | Single Degree-of-freedom Effects from a Fitted Model
`effects.lm` | Single Degree-of-freedom Effects from a Fitted Model
`glm` | Fit a Generalized Linear Model
`glm.control` | Set Control Parameters for Generalized Linear Model
`glm.fit` | Fit a GLM without Computing the Model Matrix
`glm.object` | Generalized Linear Model Object
`hat` | Hat Diagonal Regression Diagnostic
`hatvalues` | Regression Deletion Diagnostics
`hatvalues.lm` | Regression Deletion Diagnostics
`influence` | Regression Diagnostics
`influence.glm` | Regression Diagnostics
`influence.lm` | Regression Diagnostics
`influence.measures` | Regression Deletion Diagnostics
`isoreg` | Isotonic / Monotone Regression
`kappa` | Compute the Exact or Estimated Condition Number
`kappa.default` | Compute the Exact or Estimated Condition Number
`kappa.lm` | Compute the Exact or Estimated Condition Number
`kappa.qr` | Compute the Exact or Estimated Condition Number
`ksmooth` | Scatter Plot Smoothing
`lm` | Fit Linear Regression Model
`lm.fit` | General fitting for linear (regression) models
`lm.influence` | Regression Diagnostics
`lm.object` | Linear Least Squares Model Object
`lm.wfit` | General fitting for linear (regression) models
`lowess` | Scatter Plot Smoothing
`lsfit` | Linear Least-Squares Fit
`mlm.object` | Linear Least Squares Model Object
`poly` | Compute Orthogonal Polynomials
`polym` | Compute Orthogonal Polynomials
`predict.nls` | Predicting from Nonlinear Least Squares Fits
`predict.poly` | Compute Orthogonal Polynomials
`print.dummy_coef` | Extract Original Coefficients from a Linear Model
`print.dummy_coef_list` | Extract Original Coefficients from a Linear Model
`print.infl` | Regression Deletion Diagnostics
`print.summary.lm` | Summary Method for Linear Models
`print.summary.mlm` | Summary Method for Linear Models
`proj` | Projection Matrix
`proj.aov` | Projection Matrix
`proj.aovlist` | Projection Matrix
`proj.default` | Projection Matrix
`proj.lm` | Projection Matrix
`rstandard` | Regression Deletion Diagnostics
`rstandard.glm` | Regression Deletion Diagnostics
`rstandard.lm` | Regression Deletion Diagnostics
`rstudent` | Regression Deletion Diagnostics
`rstudent.glm` | Regression Deletion Diagnostics
`rstudent.lm` | Regression Deletion Diagnostics
`stat.anova` | Add Statistics Columns to an Anova Table
`summary.glm` | Summary Method for Fitted Generalized Linear Models
`summary.infl` | Regression Deletion Diagnostics
`summary.lm` | Summary Method for Linear Models
`summary.mlm` | Summary Method for Linear Models