This dialog lets you save results from a Nonlinear Quantile regression. These results are saved when an analysis is run and must be specified before running an analysis.
Save
After selecting the appropriate boxes, type names for the data structures into the corresponding fields. The table below indicates the type of structures formed for each item.
| Estimates | Variate | Estimated values of nonlinear and linear parameters, and the constant if fitted. |
| Residuals | Variate | Residuals from quantile regression. |
| Fitted values | Variate | Fitted values from the quantile regression. |
| Lower confidence limits of fitted values | Variate | Lower confidence limit of fitted values(requires bootstrapping to be performed). |
| Lower confidence limits of fitted values | Variate | Upper confidence limit of fitted values for each quantile (requires bootstrapping to be performed). |
| Lower confidence limits of estimates | Variate | Lower confidence limit of estimates (requires bootstrapping to be performed). |
| Upper confidence limits of estimates | Variate | Upper confidence limit of estimates (requires bootstrapping to be performed). |
| Standard errors of estimates | Variate | Standard errors of the estimates (requires bootstrapping to be performed). |
| Variance covariance matrix | Symmetric matrix | Variance-covariance matrix of estimates (requires bootstrapping to be performed). |
| Objective function | Scalar | Optimal values of the objective function SUM(e*(Q – (e > 0))) where e = Y – Fitted value. |
Display in spreadsheet
Select this to display the results in a new spreadsheet window.
Action Icons
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Clear | Clear all fields and list boxes. |
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Help | Open the Help topic for this dialog. |
See also
- Nonlinear Quantile Regression menu
- Nonlinear Quantile Regression Options
- Quantile Regression menu
- Nonlinear Models menu
- Standard Curves menu menu.
- Standard Curves with Correlated Errors menu.
- RQLINEAR procedure
- RQSMOOTH procedure
- RQNONLINEAR procedure
- FRQUANTILES directive
- RQOBJECTIVE function