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 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 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 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