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