Настройка параметров метода «Линейная регрессия»

SOAP-запрос:

<s:Envelope xmlns:s="http://schemas.xmlsoap.org/soap/envelope/">

<s:Body xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema">

<SetMs xmlns="http://www.prognoz.ru/PP.SOM.Som">

<tMs xmlns="">

  <id>AANMHJILOENBFOAEOEFKAJEHHPFAIKEEHKCHDNNBKCKKKJOB!M!S!CLPLNPJILOENBFOAEIJIBDDKFMKDOMMNEOJPICACBBMFBKAHD</id>

  </tMs>

<tArg xmlns="">

<pattern>

  <obInst>true</obInst>

<item>

  <key>89669</key>

<problem>

<metamodel>

  <calculationChain>Change</calculationChain>

  </metamodel>

  </problem>

  </item>

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<meta>

<item>

  <k>89669</k>

  <type>Problem</type>

<problemMd>

<metamodel>

<calculationChain>

<its>

<Item>

  <k>4</k>

  <type>Model</type>

<model>

<transform>

<formulas>

<its>

<it>

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  <kind>LinearRegression</kind>

<method>

<linearRegression>

  <constantMode>ManualEstimate</constantMode>

  <constantValue>0.5</constantValue>

<autoSelection>

  <isActive>true</isActive>

  <criterion>R2</criterion>

  <min>2</min>

  <max>3</max>

  </autoSelection>

  <confidenceLevel>0.85</confidenceLevel>

<ARMA>

<orderAR>

  <l>1</l>

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  <missingData />

<explanatories>

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<Item>

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  <expression>@_2:0[] * 8</expression>

<operands>

<its>

<Item>

  <k>0</k>

<slice>

  <k>0</k>

  <id>1</id>

  <n>MyInputVavable</n>

  <vis>true</vis>

  <variableKey>2</variableKey>

  <stubKey>89671</stubKey>

<selections>

<its>

<Item>

<id>

  <id>89683</id>

  </id>

  <variant>1</variant>

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  </selections>

  <aggregator>None</aggregator>

<parametrizedDimensions>

<its>

<Item>

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  <parameter>0</parameter>

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  </its>

  </parametrizedDimensions>

<unitInfo>

  <unit>4294967295</unit>

  <measure>4294967295</measure>

  <baseUnit>4294967295</baseUnit>

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  </unitInfo>

  <level>Year</level>

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  <expressionText />

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  <method>Casewise</method>

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  <applyMissingData>true</applyMissingData>

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  <lagLengthK>1</lagLengthK>

  <polinomialDegreeP>1</polinomialDegreeP>

  <pdlConstraint>None</pdlConstraint>

  </customOptions>

<inversion>

  <type>TS</type>

  <dependence>Linear</dependence>

  </inversion>

  <included>true</included>

  <lag>1</lag>

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  </explanatories>

  </linearRegression>

  </method>

  </it>

  </its>

  </formulas>

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  </calculationChain>

  </metamodel>

  </problemMd>

  </item>

  </meta>

<metaGet>

  <obInst>true</obInst>

  <scenarios>Get</scenarios>

  <period>true</period>

<item>

  <key>89669</key>

<problem>

<metamodel>

  <calculationChain>Get</calculationChain>

<calcChainPattern>

<modelPattern>

<transform>

  <formulaCount>true</formulaCount>

<formulas>

  <method />

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<equationsFormula>

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  </calcChainPattern>

<visualControllerPattern>

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  <useSourceName>false</useSourceName>

  <freeVariables>true</freeVariables>

  <levelFormat>Short</levelFormat>

  </visualControllerPattern>

  </metamodel>

  <scenarios>Get</scenarios>

  <details>true</details>

  <useSavedCoefficients>true</useSavedCoefficients>

  </problem>

  </item>

  </metaGet>

  </tArg>

  </SetMs>

  </s:Body>

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SOAP-ответ:

<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/">

<soapenv:Body>

<SetMsResult xmlns="http://www.prognoz.ru/PP.SOM.Som" xmlns:q1="http://www.prognoz.ru/PP.SOM.Som" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">

<id xmlns="">

  <id>AANMHJILOENBFOAEOEFKAJEHHPFAIKEEHKCHDNNBKCKKKJOB!M!S!CLPLNPJILOENBFOAEIJIBDDKFMKDOMMNEOJPICACBBMFBKAHD</id>

  </id>

<meta xmlns="">

<obInst>

<obDesc isShortcut="0" isLink="0" fullUrl="http://v-shp-development.dev.fs.fsight.world/" ver="4" hf="0">

  <i>MODELSPACE</i>

  <n>Контейнер моделирования</n>

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  <c>5121</c>

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  </obInst>

  <dirty>0</dirty>

<period>

  <start>1970-01-01</start>

  <end>2020-12-31</end>

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<scenarios>

<nodes>

<it isFolder="0">

  <k>1628</k>

  <id>OBJ1628</id>

  <n>Базовый</n>

  <vis>1</vis>

<scenDesc isShortcut="0" isLink="0" fullUrl="http://v-shp-development.dev.fs.fsight.world/" ver="0" hf="0">

  <i>OBJ1628</i>

  <n>Базовый</n>

  <k>1628</k>

  <c>5124</c>

  <p>1627</p>

  <h>0</h>

  <hasPrv>0</hasPrv>

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<it isFolder="0">

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  <id>OBJ5371</id>

  <n>Базовый (копия1)</n>

  <vis>1</vis>

<scenDesc isShortcut="0" isLink="0" fullUrl="http://v-shp-development.dev.fs.fsight.world/" ver="0" hf="0">

  <i>OBJ5371</i>

  <n>Базовый (копия1)</n>

  <k>5371</k>

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  <hasPrv>0</hasPrv>

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<item>

  <k>89669</k>

  <id>MODEL_NEW</id>

  <n>MODEL_NEW</n>

  <vis>1</vis>

  <type>Problem</type>

<problemMd>

<metamodel>

  <k>89670</k>

<calculationChain>

<its>

<Item>

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  <n>MyInputVavable</n>

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<chainVariable>

<slice>

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  <id>MyInputVavable|A</id>

  <n>MyInputVavable|A</n>

  <vis>1</vis>

  <variableKey>1</variableKey>

  <stubKey>89671</stubKey>

<selections>

<its>

<Item>

<id>

  <id>89683</id>

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  <variant>1</variant>

  </Item>

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  <aggregator>None</aggregator>

<parametrizedDimensions>

<its>

<Item>

  <dimension>0</dimension>

  <parameter>0</parameter>

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<unitInfo>

  <unit>4294967295</unit>

  <measure>4294967295</measure>

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  </unitInfo>

  <level>Year</level>

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  <originalShortName>MyInputVavable</originalShortName>

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<Item>

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<Item>

<id>

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  <measure>4294967295</measure>

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  </unitInfo>

  <level>Year</level>

  </slice>

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  <originalName>MyOutputVavable</originalName>

  <originalShortName>MyOutputVavable</originalShortName>

  <useCustomName>0</useCustomName>

  </chainVariable>

  </Item>

<Item>

  <k>4</k>

  <id>OBJ4</id>

  <n>MyOutputVavable|A[t] = 10 - MyInputVavable[t] * 3.14, (От родителя)-(От родителя)</n>

  <vis>1</vis>

  <type>Model</type>

  <excluded>0</excluded>

  <graphMeta />

<model>

<transform>

  <formulaCount>1</formulaCount>

<formulas>

<its>

<it>

  <k>0</k>

  <kind>LinearRegression</kind>

<method>

<linearRegression>

  <constantMode>ManualEstimate</constantMode>

  <constantValue>0.5</constantValue>

  <confidenceLevel>0.85</confidenceLevel>

<ARMA>

<orderAR>

  <l>1</l>

  </orderAR>

  <orderMA />

  <calcInitMode>Auto</calcInitMode>

  <initAR />

  <initMA />

  <initIntercept>NaN</initIntercept>

  <estimationMethod>LevenbergMarquardt</estimationMethod>

  <tolerance>0.0001</tolerance>

  <maxIteration>500</maxIteration>

<coefficientsAR>

  <estimate />

  <standardError />

  <tStatistic />

  <probability />

  </coefficientsAR>

<coefficientsMA>

  <estimate />

  <standardError />

  <tStatistic />

  <probability />

  </coefficientsMA>

  <diff>0</diff>

  <diffSeas>1</diffSeas>

  <orderARSeas />

  <orderMASeas />

  <initARSeas />

  <initMASeas />

  <periodSeas>0</periodSeas>

<coefficientsARSeas>

  <estimate />

  <standardError />

  <tStatistic />

  <probability />

  </coefficientsARSeas>

<coefficientsMASeas>

  <estimate />

  <standardError />

  <tStatistic />

  <probability />

  </coefficientsMASeas>

  <useARMAasInstrums>1</useARMAasInstrums>

  <useAnalyticDeriv>1</useAnalyticDeriv>

  <useBackCast>1</useBackCast>

  </ARMA>

<missingData>

  <specifiedVector />

  <method>Casewise</method>

  <methodParameter>5</methodParameter>

  <specifiedValue>0</specifiedValue>

<specifiedTerm>

  <k>4294967295</k>

  </specifiedTerm>

  </missingData>

  </linearRegression>

<inversionInfo>

  <type>None</type>

  <lag>PrecidingValue</lag>

  <previousLag>-1</previousLag>

  <seasonality>None</seasonality>

  <dependence>Linear</dependence>

  <K>3</K>

  </inversionInfo>

  <doUseR>0</doUseR>

  <supportsR>1</supportsR>

  </method>

  <calendarLevel>Year</calendarLevel>

  <outputSliceKey>0</outputSliceKey>

  </it>

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  </formulas>

  <kind>Simple</kind>

  </transform>

  <warnings />

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  </its>

  </calculationChain>

<visualController>

  <variableRubricatorKey>89671</variableRubricatorKey>

<freeVariables>

  <its />

  </freeVariables>

  <userRPath />

  <isRExist>0</isRExist>

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<suppressEmptyFilter>

  <suppressEmpty>0</suppressEmpty>

  <suppressEmptyArea>SerieBounds</suppressEmptyArea>

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  <readOnly>0</readOnly>

  <variableTestUseR>0</variableTestUseR>

  <calculateIdentOnFact>0</calculateIdentOnFact>

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<scenarios>

  <its />

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<details>

<period>

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  <identificationEndDate>2018-04-24</identificationEndDate>

  <forecastStartDate>2018-04-25</forecastStartDate>

  <forecastEndDate>2020-01-01</forecastEndDate>

  <identificationStartDateParamID />

  <identificationEndDateParamID />

  <forecastStartDateParamID />

  <forecastEndDateParamID />

  <autoPeriod>0</autoPeriod>

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  <identificationEndOffset>0</identificationEndOffset>

  <forecastEndOffset>0</forecastEndOffset>

  <isIdentStartCorrect>1</isIdentStartCorrect>

  <isIdentEndCorrect>1</isIdentEndCorrect>

  <isForecastEndCorrect>1</isForecastEndCorrect>

  </period>

  <currentPoint>2018-04-25</currentPoint>

  </details>

  <useSavedCoefficients>0</useSavedCoefficients>

  <useScenarios>0</useScenarios>

  <readOnly>0</readOnly>

  </problemMd>

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  </meta>

  </SetMsResult>

  </soapenv:Body>

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JSON-запрос:

{
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  {
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    {
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    },
   "tArg" : 
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}

JSON-ответ:

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    },
   "meta" : 
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         "hasPrv" : "0",
         "ic" : "0",
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         "isTemp" : "0"
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     "period" : 
      {
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       "end" : "2020-12-31"
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     "scenarios" : 
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        {
         "it" : 
          [
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             "@isFolder" : "0",
             "k" : "1628",
             "id" : "OBJ1628",
             "n" : "Базовый",
             "vis" : "1",
             "scenDesc" : 
              {
               "@fullUrl" : "http:\/\/v-shp-development.dev.fs.fsight.world\/",
               "@isShortcut" : "0",
               "@isLink" : "0",
               "@ver" : "0",
               "@hf" : "0",
               "i" : "OBJ1628",
               "n" : "Базовый",
               "k" : "1628",
               "c" : "5124",
               "p" : "1627",
               "h" : "0",
               "hasPrv" : "0",
               "ic" : "0"
              },
             "internalKey" : "1629"
            },
            {
             "@isFolder" : "0",
             "k" : "5371",
             "id" : "OBJ5371",
             "n" : "Базовый (копия1)",
             "vis" : "1",
             "scenDesc" : 
              {
               "@fullUrl" : "http:\/\/v-shp-development.dev.fs.fsight.world\/",
               "@isShortcut" : "0",
               "@isLink" : "0",
               "@ver" : "0",
               "@hf" : "0",
               "i" : "OBJ5371",
               "n" : "Базовый (копия1)",
               "k" : "5371",
               "c" : "5124",
               "p" : "1627",
               "h" : "0",
               "hasPrv" : "0",
               "ic" : "0"
              },
             "internalKey" : "5372"
            }
          ]
        }
      },
     "item" : 
      {
       "k" : "89669",
       "id" : "MODEL_NEW",
       "n" : "MODEL_NEW",
       "vis" : "1",
       "type" : "Problem",
       "problemMd" : 
        {
         "metamodel" : 
          {
           "k" : "89670",
           "calculationChain" : 
            {
             "its" : 
              {
               "Item" : 
                [
                  {
                   "k" : "1",
                   "n" : "MyInputVavable",
                   "vis" : "1",
                   "type" : "Variable",
                   "excluded" : "0",
                   "graphMeta" : "{"Geometry":{"x":20,"y":10,"width":150,"height":50},"ChartOptions":{"chart":{"defaultSeriesType":"line","mixed":true,"backgroundColor":"rgba(0, 0, 0, 0.000000)"},"plotOptions":{"series":{"dataLabels":{"formatter":"%Autovalue","dataFormat":"#,##0.00"}}},"tooltip":{"formatter":"Значение: %Autovalue\nДата: %PointName","enabled":true,"backgroundType":"none","style":{"fontFamily":"Arial","fontSize":"12px","color":"#000000"}},"yAxis":[{"labels":{"enabled":true,"dataFormat":"#,##0.00"},"title":{"text":""}}],"xAxis":{"tickInterval":2,"labels":{},"title":{}},"series":[{"entryKey":1,"scenarioKey":4294967295,"serieType":"fact","showInLegend":true,"type":"line","color":"rgba(129, 129, 129, 1)","borderColor":"rgba(129, 129, 129, 1)","borderWidth":0,"lineColor":"rgba(129, 129, 129, 1)","zIndex":1,"legendIndex":0,"visible":true,"background":{"color":"rgba(129, 129, 129, 1)","type":"color"},"marker":{"enabled":false,"symbol":"circle","fillColor":"#FFFFFF","lineWidth":1.5,"lineColor":null},"dataLabels":{"formatter":"%Autovalue"},"trendLine":{}}]}}",
                   "chainVariable" : 
                    {
                     "slice" : 
                      {
                       "k" : "0",
                       "id" : "MyInputVavable|A",
                       "n" : "MyInputVavable|A",
                       "vis" : "1",
                       "variableKey" : "1",
                       "stubKey" : "89671",
                       "selections" : 
                        {
                         "its" : 
                          {
                           "Item" : 
                            {
                             "id" : 
                              {
                               "id" : "89683"
                              },
                             "variant" : "1"
                            }
                          }
                        },
                       "aggregator" : "None",
                       "parametrizedDimensions" : 
                        {
                         "its" : 
                          {
                           "Item" : 
                            {
                             "dimension" : "0",
                             "parameter" : "0"
                            }
                          }
                        },
                       "unitInfo" : 
                        {
                         "unit" : "4294967295",
                         "measure" : "4294967295",
                         "baseUnit" : "4294967295",
                         "unitsDimensionKey" : "0"
                        },
                       "level" : "Year"
                      },
                     "fullName" : "MyInputVavable|A",
                     "originalName" : "MyInputVavable",
                     "originalShortName" : "MyInputVavable",
                     "useCustomName" : "0"
                    }
                  },
                  {
                   "k" : "2",
                   "n" : "MyOutputVavable",
                   "vis" : "1",
                   "type" : "Variable",
                   "excluded" : "0",
                   "graphMeta" : "{"Geometry":{"x":30,"y":140,"width":150,"height":50}}",
                   "chainVariable" : 
                    {
                     "slice" : 
                      {
                       "k" : "0",
                       "id" : "MyOutputVavable|A",
                       "n" : "MyOutputVavable|A",
                       "vis" : "1",
                       "variableKey" : "2",
                       "stubKey" : "89671",
                       "selections" : 
                        {
                         "its" : 
                          {
                           "Item" : 
                            {
                             "id" : 
                              {
                               "id" : "89683"
                              },
                             "variant" : "2"
                            }
                          }
                        },
                       "aggregator" : "None",
                       "parametrizedDimensions" : 
                        {
                         "its" : 
                          {
                           "Item" : 
                            {
                             "dimension" : "0",
                             "parameter" : "0"
                            }
                          }
                        },
                       "unitInfo" : 
                        {
                         "unit" : "4294967295",
                         "measure" : "4294967295",
                         "baseUnit" : "4294967295",
                         "unitsDimensionKey" : "0"
                        },
                       "level" : "Year"
                      },
                     "fullName" : "MyOutputVavable|A",
                     "originalName" : "MyOutputVavable",
                     "originalShortName" : "MyOutputVavable",
                     "useCustomName" : "0"
                    }
                  },
                  {
                   "k" : "4",
                   "id" : "OBJ4",
                   "n" : "MyOutputVavable|A[t] = 10 - MyInputVavable[t] * 3.14, (От родителя)-(От родителя)",
                   "vis" : "1",
                   "type" : "Model",
                   "excluded" : "0",
                   "graphMeta" : "",
                   "model" : 
                    {
                     "transform" : 
                      {
                       "formulaCount" : "1",
                       "formulas" : 
                        {
                         "its" : 
                          {
                           "it" : 
                            [
                              {
                               "k" : "0",
                               "kind" : "LinearRegression",
                               "method" : 
                                {
                                 "linearRegression" : 
                                  {
                                   "constantMode" : "ManualEstimate",
                                   "constantValue" : "0.5",
                                   "confidenceLevel" : "0.85",
                                   "ARMA" : 
                                    {
                                     "orderAR" : 
                                      {
                                       "l" : "1"
                                      },
                                     "orderMA" : "",
                                     "calcInitMode" : "Auto",
                                     "initAR" : "",
                                     "initMA" : "",
                                     "initIntercept" : "NaN",
                                     "estimationMethod" : "LevenbergMarquardt",
                                     "tolerance" : "0.0001",
                                     "maxIteration" : "500",
                                     "coefficientsAR" : 
                                      {
                                       "estimate" : "",
                                       "standardError" : "",
                                       "tStatistic" : "",
                                       "probability" : ""
                                      },
                                     "coefficientsMA" : 
                                      {
                                       "estimate" : "",
                                       "standardError" : "",
                                       "tStatistic" : "",
                                       "probability" : ""
                                      },
                                     "diff" : "0",
                                     "diffSeas" : "1",
                                     "orderARSeas" : "",
                                     "orderMASeas" : "",
                                     "initARSeas" : "",
                                     "initMASeas" : "",
                                     "periodSeas" : "0",
                                     "coefficientsARSeas" : 
                                      {
                                       "estimate" : "",
                                       "standardError" : "",
                                       "tStatistic" : "",
                                       "probability" : ""
                                      },
                                     "coefficientsMASeas" : 
                                      {
                                       "estimate" : "",
                                       "standardError" : "",
                                       "tStatistic" : "",
                                       "probability" : ""
                                      },
                                     "useARMAasInstrums" : "1",
                                     "useAnalyticDeriv" : "1",
                                     "useBackCast" : "1"
                                    },
                                   "missingData" : 
                                    {
                                     "specifiedVector" : "",
                                     "method" : "Casewise",
                                     "methodParameter" : "5",
                                     "specifiedValue" : "0",
                                     "specifiedTerm" : 
                                      {
                                       "k" : "4294967295"
                                      }
                                    }
                                  },
                                 "inversionInfo" : 
                                  {
                                   "type" : "None",
                                   "lag" : "PrecidingValue",
                                   "previousLag" : "-1",
                                   "seasonality" : "None",
                                   "dependence" : "Linear",
                                   "K" : "3"
                                  },
                                 "doUseR" : "0",
                                 "supportsR" : "1"
                                },
                               "calendarLevel" : "Year",
                               "outputSliceKey" : "0"
                              }
                            ]
                          }
                        },
                       "kind" : "Simple"
                      },
                     "warnings" : "",
                     "readOnly" : "0"
                    }
                  }
                ]
              }
            },
           "visualController" : 
            {
             "variableRubricatorKey" : "89671",
             "freeVariables" : 
              {
               "its" : ""
              },
             "userRPath" : "",
             "isRExist" : "0"
            },
           "suppressEmptyFilter" : 
            {
             "suppressEmpty" : "0",
             "suppressEmptyArea" : "SerieBounds"
            },
           "readOnly" : "0",
           "variableTestUseR" : "0",
           "calculateIdentOnFact" : "0"
          },
         "scenarios" : 
          {
           "its" : ""
          },
         "details" : 
          {
           "period" : 
            {
             "identificationStartDate" : "1990-01-01",
             "identificationEndDate" : "2018-04-24",
             "forecastStartDate" : "2018-04-25",
             "forecastEndDate" : "2020-01-01",
             "identificationStartDateParamID" : "",
             "identificationEndDateParamID" : "",
             "forecastStartDateParamID" : "",
             "forecastEndDateParamID" : "",
             "autoPeriod" : "0",
             "identificationStartOffset" : "0",
             "identificationEndOffset" : "0",
             "forecastEndOffset" : "0",
             "isIdentStartCorrect" : "1",
             "isIdentEndCorrect" : "1",
             "isForecastEndCorrect" : "1"
            },
           "currentPoint" : "2018-04-25"
          },
         "useSavedCoefficients" : "0",
         "useScenarios" : "0",
         "readOnly" : "0"
        }
      }
    }
  }
}

public static MsItem SetMsLinearRegr(MsId ms, ulong modelKey, ulong eqKey, MsModel eq)
{   // Получаем входную переменную
    MsFormulaTransformVariable inp = eq.transform.inputs.its.GetValue(0) as MsFormulaTransformVariable;
    // Задаем параметры выполнения операции
    var setMsOp = new SetMs();
    setMsOp.tMs = ms;
    setMsOp.tArg = new SetMsArg()
    {  // Задаем шаблон изменения данных
        pattern = new MsMdPattern()
        {
            item = new MsItemPattern()
            {  // Указываем ключ модели
                key = modelKey,
                problem = new MsProblemPattern()
                {
                    metamodel = new MsMetaModelPattern()
                    {
                        calculationChain = ListOperation.Change
                    }
                }
            }
        }, // Задаем данные, которые необходимо изменить
        meta = new MsMd()
        {
            item = new MsItem()
            {  // Указываем ключ модели
                k = modelKey,
                type = MsItemType.Problem,
                problemMd = new MsProblem()
                {
                    metamodel = new MsMetaModel()
                    {
                        calculationChain = new MsCalculationChainEntries()
                        {
                            its = new MsCalculationChainEntry[]
                            {
                                new MsCalculationChainEntry()
                                {
                                    k = eqKey,
                                    type = MsCalculationChainType.Model,
                                    model =  new MsModel()
                                    {
                                        transform = new MsFormulaTransform()
                                        {
                                            formulas = new TsFormulas()
                                            {
                                                its = new TsFormula[]
                                                {
                                                    new TsFormula()
                                                    {
                                                        kind = TsFormulaKind.LinearRegression,
                                                        method = new TsMethod()
                                                        {   // Задаём параметры расчёта метода                                    
                                                            linearRegression = new TsLinearRegressionMethod()
                                                            {
                                                                constantMode = StatInterceptMode.ManualEstimate,
                                                                constantValue = 0.5,
                                                                confidenceLevel = 0.85,
                                                                ARMA = new SlARMA(){orderAR = new long[] {1}},
                                                                missingData = new StatMissingData(){},                                            
                                                                // Задаём объясняющие факторы
                                                                explanatories = new MsCompositeFormulaTerms()
                                                                {
                                                                    simpleTerm = null,
                                                                    termInfo = null,
                                                                    its = new MsCompositeFormulaTerm[]
                                                                    {   // Задаём фактор
                                                                        new MsCompositeFormulaTerm()
                                                                        {
                                                                            k = 0,
                                                                            operands = new MsFormulaTerms()
                                                                            {
                                                                                its = new MsFormulaTerm[]
                                                                                {
                                                                                    new MsFormulaTerm()
                                                                                        {
                                                                                            k = 0,
                                                                                            slice = inp.slices.its.GetValue(0) as MsFormulaTransformSlice
                                                                                        }
                                                                                    }
                                                                            },
                                                                            expressionText = "",
                                                                            inversedExpressionText = "",
                                                                            expression ="@_" + inp.k + ":0[] * 8",
                                                                            aggregationAttrKey = 0,
                                                                            missingData = new StatMissingData(){method = StatMissingDataMethod.Casewise},
                                                                            applyMissingData = true,
                                                                            unitInfo = null,
                                                                            included = true,
                                                                            lag = 1,
                                                                            inversion = new TsInversion()
                                                                            {
                                                                                type = TsInversionType.TS,
                                                                                dependence = StatDependenceType.Linear
                                                                            }, // Указываем, что фактор является лаговой переменной
                                                                            customOptions = new MsTermOptions()
                                                                            {
                                                                                isPDLTerm = true,
                                                                                pdlConstraint = PDLConstraintKind.None,
                                                                                lagLengthK = 1,
                                                                                polinomialDegreeP = 1
                                                                            }
                                                                        }
                                                                    }
                                                                }, // Задаём параметры автоподбора факторов
                                                                autoSelection = new LinearRegressionAutoSelection()
                                                                {
                                                                    criterion = StatCriterionType.R2,
                                                                    isActive = true,
                                                                    min = 2,
                                                                    max = 3
                                                                }
                                                            }
                                                        }
                                                    }
                                                }
                                            }
                                        }
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }, // Задаём шаблон извлечения измененных данных
        metaGet = new MsMdPattern()
        {
            scenarios = ListOperation.Get,
            period = true,
            item = new MsItemPattern()
            {
                key = modelKey,
                problem = new MsProblemPattern()
                {
                    details = true,
                    scenarios = ListOperation.Get,
                    useSavedCoefficients = true,
                    metamodel = new MsMetaModelPattern()
                    {
                        calculationChain = ListOperation.Get,
                        calcChainPattern = new MsCalculationChainPattern()
                        {
                            modelPattern = new MsModelPattern()
                            {
                                transform = new MsFormulaTransformPattern()
                                {
                                    kind = true,
                                    formulaCount = true,
                                    formulas = new TsFormulaPattern()
                                    {
                                        method = new TsMethodPattern() { }
                                    },
                                    equationsFormula = new TsFormulaPattern()
                                    {
                                        method = new TsMethodPattern() { }
                                    }
                                }
                            }
                        },
                        visualControllerPattern = new MsMetaModelVisualControllerPattern()
                        {
                            variableRubricatorKey = true,
                            levelFormat = MsLevelFormat.Short,
                            useSourceName = false,
                            freeVariables = true
                        }
                    }
                }
            }
        }
    }; // Создаем прокси-объект для выполнения операции
    var somClient = new SomPortTypeClient();
    // Задаем параметры выполнения операции
    var result = somClient.SetMs(setMsOp);
    return result.meta.item;
}