| Tool Name | Multiple Linear Regression Analysis (Shapes) |
| Tool ID | 13 |
| Library ID | statistics_regression |
| Version | 1.0 |
| Author(s) | O.Conrad (c) 2012 |
| Name | Type | Identifier | Description | Constraints |
|---|---|---|---|---|
| Input | ||||
| Shapes | shapes, input | TABLE | ||
| Output | ||||
| Results | shapes, output, optional | RESULTS | ||
| Details: Coefficients | table, output, optional | INFO_COEFF | ||
| Details: Model | table, output, optional | INFO_MODEL | ||
| Details: Steps | table, output, optional | INFO_STEPS | ||
| Options | ||||
| Dependent Variable | table field | DEPENDENT | ||
| Predictors | parameters | PREDICTORS | 0 Parameters: | |
| Method | choice | METHOD | Available Choices: [0] include all [1] forward [2] backward [3] stepwise Default: 3 | |
| Significance Level | floating point number | P_VALUE | Significance level (aka p-value) as threshold for automated predictor selection, given as percentage | Minimum: 0.000000 Maximum: 100.000000 Default: 5.000000 |
| Cross Validation | choice | CROSSVAL | Available Choices: [0] none [1] leave one out [2] 2-fold [3] k-fold Default: 0 | |
| Cross Validation Subsamples | integer number | CROSSVAL_K | number of subsamples for k-fold cross validation | Minimum: 2 Default: 10 |