Tool Multiple Linear Regression Analysis (Table)
Multiple linear regression analysis using ordinary least squares.
- Author: O.Conrad (c) 2012
- Menu: Spatial and Geostatistics|Regression|Table
Parameters
| | Name | Type | Identifier | Description | Constraints |
|---|
| Input | Table | Table, input | TABLE | - | - |
| Output | Results (*) | Table, 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 | 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 | CROSSVAL_K | number of subsamples for k-fold cross validation | Minimum: 2
Default: 10 |
| (*) optional |
Command-line
Usage: saga_cmd statistics_regression 12 [-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> Table
Table, input
-RESULTS:<str> Results
Table, 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
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
Minimum: 2
Default: 10