SAGA 9.4.2 | Tool Library Documentation

Multiple Linear Regression Analysis (Table)


Description

Multiple linear regression analysis using ordinary least squares.


Parameters

 NameTypeIdentifierDescriptionConstraints
InputTabletable, inputTABLE--
OutputResultstable, output, optionalRESULTS--
Details: Coefficientstable, output, optionalINFO_COEFF--
Details: Modeltable, output, optionalINFO_MODEL--
Details: Stepstable, output, optionalINFO_STEPS--
OptionsDependent Variabletable fieldDEPENDENT--
MethodchoiceMETHOD-Available Choices: [0] include all [1] forward [2] backward [3] stepwise Default: 3
Significance Levelfloating point numberP_VALUESignificance level (aka p-value) as threshold for automated predictor selection, given as percentageMinimum: 0.000000 Maximum: 100.000000 Default: 5.000000
Cross ValidationchoiceCROSSVAL-Available Choices: [0] none [1] leave one out [2] 2-fold [3] k-fold Default: 0
Cross Validation Subsamplesinteger numberCROSSVAL_Knumber of subsamples for k-fold cross validationMinimum: 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