| anovatable | Analysis of Variance |
| betahat | Estimates of Regression Coefficients \boldsymbol{\hat{beta}} |
| betahatinference | Regression Coefficients Hypothesis Test and Confidence... |
| ci | Confidence Intervals of Estimates of Regression Coefficients |
| descriptives | Descriptive Statistics |
| dot-anovatable | Analysis of Variance (from RSS and ESS) |
| dot-betahatinference | Regression Coefficients Hypothesis Test and Confidence... |
| dot-betahatnorm | Estimates of Regression Coefficients \boldsymbol{\hat{beta}}... |
| dot-betahatqr | Estimates of Regression Coefficients \boldsymbol{\hat{beta}}... |
| dot-betahatsvd | Estimates of Regression Coefficients \boldsymbol{\hat{beta}}... |
| dot-ESS | Explained Sum of Squares (from \mathbf{\hat{y}} and... |
| dot-h | Leverage |
| dot-intercept | Regression Intercept beta_{1} |
| dot-intercepthat | Estimated Regression Intercept \hat{beta}_{1} |
| dot-M | M Matrix |
| dot-model | Model Assessment |
| dot-MSE | Mean Squared Error (from \mathrm{RSS}) |
| dot-My | Residuals <=ft( \boldsymbol{\hat{\varepsilon}} = \mathbf{My}... |
| dot-Py | y-hat <=ft( \mathbf{\hat{y}} = \mathbf{P} \mathbf{y} \right) |
| dot-R2fromESS | Coefficient of Determination R^2 (from ESS) |
| dot-R2fromRSS | Coefficient of Determination R^2 (from RSS) |
| dot-Rbar2 | Adjusted R-squared \bar{R}^{2} (from R^2) |
| dot-RMSE | Root Mean Squared Error (from \mathrm{RSS}) |
| dot-RSS | Residual Sum of Square (from \boldsymbol{\hat{\varepsilon}}) |
| dot-sehatbetahat | Standard Errors of Estimates of Regression Coefficients (from... |
| dot-sehatbetahatbiased | Standard Errors of Estimates of Regression Coefficients (from... |
| dot-sehatslopeshatprimedelta | Standard Errors of Standardized Estimates of Regression... |
| dot-sehatslopeshatprimetb | Standard Errors of Standardized Estimates of Regression... |
| dot-sigma2hatepsilonhat | Residual Variance \hat{sigma}_{\hat{\varepsilon}}^{2} (from... |
| dot-sigma2hatepsilonhatbiased | Residual Variance \hat{sigma}_{\hat{\varepsilon} \... |
| dot-slopes | Regression Slopes \boldsymbol{beta}_{2, \cdots, k} |
| dot-slopeshat | Estimates of Regression Slopes \boldsymbol{\hat{beta}}_{2,... |
| dot-slopeshatprime | Estimates of Regression Standardized Slopes... |
| dot-slopeshatprimeinference | Standardized Regression Slopes Hypothesis Test and Confidence... |
| dot-slopesprime | Regression Standardized Slopes \boldsymbol{beta}_{2, \cdots,... |
| dot-tepsilonhat | Studentized Residuals |
| dot-vcovhatbetahat | Variance-Covariance Matrix of Estimates of Regression... |
| dot-vcovhatbetahatbiased | Variance-Covariance Matrix of Estimates of Regression... |
| dot-Xbetahat | y-hat <=ft( \mathbf{\hat{y}} = \mathbf{X}... |
| dot-yminusyhat | Residuals <=ft( \boldsymbol{\hat{\varepsilon}} = \mathbf{y} -... |
| epsilonhat | Residuals <=ft( \boldsymbol{\hat{\varepsilon}} = \mathbf{y} -... |
| ESS | Explained Sum of Squares |
| h | Leverage |
| intercept | Regression Intercept beta_{1} |
| intercepthat | Estimated Regression Intercept \hat{beta}_{1} |
| linreg | Linear Regression |
| M | M Matrix |
| model | Model Assessment |
| MSE | Mean Squared Error |
| mutheta | Model-Implied Mean Vector \boldsymbol{mu} <=ft(... |
| My | Residuals <=ft( \boldsymbol{\hat{\varepsilon}} = \mathbf{My}... |
| nhst | Hypothesis Test for Estimates of Regression Coefficients |
| P | P Matrix |
| Py | y-hat <=ft( \mathbf{\hat{y}} = \mathbf{P} \mathbf{y} \right) |
| R2 | Coefficient of Determination R^2 |
| Rbar2 | Adjusted R-squared \bar{R}^{2} |
| residual.plot | Residual Plots |
| RMSE | Root Mean Squared Error |
| RSS | Residual Sum of Squares |
| scatter.plot | Scatter Plot Matrix |
| sehatbetahat | Standard Errors of Estimates of Regression Coefficients (from... |
| sehatbetahatbiased | Standard Errors of Estimates of Regression Coefficients (from... |
| sehatslopeshatprimedelta | Standard Errors of Standardized Estimates of Regression... |
| sehatslopeshatprimetb | Standard Errors of Standardized Estimates of Regression... |
| sigma2epsilon | Error Variance sigma_{\varepsilon}^{2} |
| sigma2hatepsilonhat | Residual Variance \hat{sigma}_{\hat{\varepsilon}}^{2} |
| sigma2hatepsilonhatbiased | Residual Variance \hat{sigma}_{\hat{\varepsilon} \... |
| Sigmatheta | Model-Implied Variance-Covariance Matrix \boldsymbol{Sigma}... |
| slopes | Regression Slopes \boldsymbol{beta}_{2, \cdots, k} |
| slopeshat | Estimates of Regression Slopes \boldsymbol{\hat{beta}}_{2,... |
| slopeshatprime | Estimates of Regression Standardized Slopes... |
| slopeshatprimeinference | Standardized Regression Slopes Hypothesis Test and Confidence... |
| slopesprime | Regression Standardized Slopes \boldsymbol{beta}_{2, \cdots,... |
| tepsilonhat | Studentized Residuals |
| TSS | Total Sum of Squares. |
| vcovhatbetahat | Variance-Covariance Matrix of Estimates of Regression... |
| vcovhatbetahatbiased | Variance-Covariance Matrix of Estimates of Regression... |
| Xbetahat | y-hat <=ft( \mathbf{\hat{y}} = \mathbf{X}... |
| yhat | y-hat <=ft( \mathbf{\hat{y}} = \mathbf{X}... |
| yminusyhat | Residuals <=ft( \boldsymbol{\hat{\varepsilon}} = \mathbf{y} -... |
