Multiple Linear Regression Analysis (Shapes)
- Author: O.Conrad (c) 2012
- Menu: Spatial and Geostatistics | Regression | Shapes
Description
Multiple linear regression analysis using ordinary least squares.
Parameters
| 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 | - | - |
| 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 |
Command Line
Usage: saga_cmd statistics_regression 13 [-TABLE] [-RESULTS ] [-DEPENDENT ] [-INFO_COEFF ] [-INFO_MODEL ] [-INFO_STEPS ] [-METHOD ] [-P_VALUE ] [-CROSSVAL ] [-CROSSVAL_K ] -TABLE: Shapes shapes, input -RESULTS: Results shapes, output, optional -DEPENDENT: Dependent Variable table field -INFO_COEFF: Details: Coefficients table, output, optional -INFO_MODEL: Details: Model table, output, optional -INFO_STEPS: Details: Steps table, output, optional -METHOD: Method choice Available Choices: [0] include all [1] forward [2] backward [3] stepwise Default: 3 -P_VALUE: Significance Level floating point number Minimum: 0.000000 Maximum: 100.000000 Default: 5.000000 -CROSSVAL: Cross Validation choice Available Choices: [0] none [1] leave one out [2] 2-fold [3] k-fold Default: 0 -CROSSVAL_K: Cross Validation Subsamples integer number Minimum: 2 Default: 10