Multiple Linear Regression Analysis (Table)
- Author: O.Conrad (c) 2012
- Menu: Spatial and Geostatistics | Regression | Table
Description
Multiple linear regression analysis using ordinary least squares.
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 | - | - |
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 12 [-TABLE ] [-RESULTS ] [-DEPENDENT ] [-INFO_COEFF ] [-INFO_MODEL ] [-INFO_STEPS ] [-METHOD ] [-P_VALUE ] [-CROSSVAL ] [-CROSSVAL_K ]
-TABLE: Table
table, input
-RESULTS: Results
table, 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