Расчёт метода «Подбор вида зависимости»

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">

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

<tMs xmlns="">

  <id>JNLCLHMGDNMBFOAELPKIJBHANNONPCBEIJFLOLMEADGBMGDH!M!S!CEOONGIMGDNMBFOAELALNGGIOBDBEJFMELJOJAOPDLFDOADIF</id>

  </tMs>

<tArg xmlns="">

<pattern>

  <obInst>true</obInst>

<item>

  <key>89669</key>

<problem>

<metamodel>

  <calculationChain>Get</calculationChain>

<calcChainPattern>

<modelPattern>

<transform>

  <outputs>Get</outputs>

  <formulaCount>true</formulaCount>

<formulas>

<method>

  <series>true</series>

  </method>

  </formulas>

  <displayId>true</displayId>

<equationsFormula>

  <method />

  </equationsFormula>

  <series>Get</series>

  <kind>true</kind>

  <displaySettings>true</displaySettings>

  <additionalAttributes>true</additionalAttributes>

  <calculationType>true</calculationType>

  <calculationDirection>true</calculationDirection>

<transformVariable>

  <slices>Get</slices>

<transformSlice>

  <selection>Get</selection>

  </transformSlice>

  </transformVariable>

  </transform>

  <stochastic>true</stochastic>

  <calculationPeriod>true</calculationPeriod>

  <useModelPeriod>true</useModelPeriod>

  <useExistingData>true</useExistingData>

  <treatNullsAsZeros>true</treatNullsAsZeros>

  <autoName>true</autoName>

  <generatedName>true</generatedName>

  <period>true</period>

  <isExclusive>true</isExclusive>

  <useAutoPeriod>true</useAutoPeriod>

  </modelPattern>

<entryKeys>

  <l>4</l>

  </entryKeys>

  </calcChainPattern>

  </metamodel>

  </problem>

  </item>

  </pattern>

<execParams>

  <k>0</k>

<modelKeys>

  <l>4</l>

  </modelKeys>

  <scenarioKeys />

  <execMethod>true</execMethod>

  <execSummaryStatistics>true</execSummaryStatistics>

  <execCoefficients>true</execCoefficients>

  <execEvaluateSeries>true</execEvaluateSeries>

  <execStatCoefficients>true</execStatCoefficients>

  <execGenerateName>true</execGenerateName>

  </execParams>

  </tArg>

  </GetMs>

  </s:Body>

  </s:Envelope>

SOAP-ответ:

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

<soapenv:Body>

<GetMsResult 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>JNLCLHMGDNMBFOAELPKIJBHANNONPCBEIJFLOLMEADGBMGDH!M!S!CEOONGIMGDNMBFOAELALNGGIOBDBEJFMELJOJAOPDLFDOADIF</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>

  <k>1581</k>

  <c>5121</c>

  <p>1580</p>

  <h>0</h>

  <hasPrv>0</hasPrv>

  <ic>0</ic>

  <isPermanent>1</isPermanent>

  <isTemp>0</isTemp>

  </obDesc>

  </obInst>

  <dirty>0</dirty>

<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>

  <k>4</k>

  <id>OBJ4</id>

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

  <vis>1</vis>

  <type>Model</type>

  <excluded>0</excluded>

  <graphMeta />

<model>

<transform>

<outputs>

<its>

<Item>

  <k>1</k>

  <id>VARIABLES_89670</id>

  <n>Variables</n>

  <vis>1</vis>

<slices>

<its>

<Item>

  <k>0</k>

  <id>MyOutputVavable|A</id>

  <n>MyOutputVavable|A</n>

  <vis>1</vis>

  <variableKey>1</variableKey>

  <stubKey>89671</stubKey>

<selections>

<its>

<Item>

<id>

  <id>89683</id>

  </id>

  <variant>2</variant>

  </Item>

  </its>

  </selections>

  <aggregator>None</aggregator>

<parametrizedDimensions>

<its>

<Item>

  <dimension>0</dimension>

  <parameter>0</parameter>

  </Item>

  </its>

  </parametrizedDimensions>

<unitInfo>

  <unit>4294967295</unit>

  <measure>4294967295</measure>

  <baseUnit>4294967295</baseUnit>

  <unitsDimensionKey>0</unitsDimensionKey>

  </unitInfo>

  <level>Year</level>

  </Item>

  </its>

  </slices>

  <variableStubKey>89671</variableStubKey>

  <parameterID />

  <kind>Stub</kind>

  <attributeId />

  <attributeType>Series</attributeType>

  </Item>

  </its>

  </outputs>

  <formulaCount>1</formulaCount>

<formulas>

<its>

<it>

  <k>0</k>

  <kind>CurveEstimation</kind>

<method>

<curveEstimation>

  <criterion>R2</criterion>

  <dependenceForm>Linear</dependenceForm>

<dependenceFormIncluded>

  <it>Linear</it>

  <it>Polynomial</it>

  <it>Logarithmic</it>

  </dependenceFormIncluded>

  <polynomOrder>4</polynomOrder>

<seasonalComponent>

  <mode>Additive</mode>

  <cycle>4</cycle>

  </seasonalComponent>

<missingData>

  <specifiedVector />

  <method>Casewise</method>

  <methodParameter>5</methodParameter>

  <specifiedValue>0</specifiedValue>

<specifiedTerm>

  <k>4294967295</k>

  </specifiedTerm>

  </missingData>

  <confidenceLevel>0.96</confidenceLevel>

  <bestDependenceForm>Polynomial</bestDependenceForm>

  <value>0</value>

<explained>

<slice>

  <k>0</k>

  <id>MyOutputVavable|A</id>

  <n>MyOutputVavable|A</n>

  <vis>1</vis>

  <variableKey>1</variableKey>

  <stubKey>89671</stubKey>

<selections>

<its>

<Item>

<id>

  <id>89683</id>

  </id>

  <variant>2</variant>

  </Item>

  </its>

  </selections>

  <aggregator>None</aggregator>

<parametrizedDimensions>

<its>

<Item>

  <dimension>0</dimension>

  <parameter>0</parameter>

  </Item>

  </its>

  </parametrizedDimensions>

<unitInfo>

  <unit>4294967295</unit>

  <measure>4294967295</measure>

  <baseUnit>4294967295</baseUnit>

  <unitsDimensionKey>0</unitsDimensionKey>

  </unitInfo>

  <level>Year</level>

  </slice>

  <lag />

  <key>0</key>

  <termToText>{MyOutputVavable|A[t]}</termToText>

  <termToInnerText>@_1:0[]</termToInnerText>

<termInfo>

  <k>4294967295</k>

  <lag>0</lag>

<inversion>

  <type>None</type>

  <lag>PrecidingValue</lag>

  <previousLag>-1</previousLag>

  <seasonality>None</seasonality>

  <dependence>Linear</dependence>

  <K>3</K>

  </inversion>

<slice>

  <k>0</k>

  <id>MyOutputVavable|A</id>

  <n>MyOutputVavable|A</n>

  <vis>1</vis>

  <variableKey>1</variableKey>

  <stubKey>89671</stubKey>

<selections>

<its>

<Item>

<id>

  <id>89683</id>

  </id>

  <variant>2</variant>

  </Item>

  </its>

  </selections>

  <aggregator>None</aggregator>

<parametrizedDimensions>

<its>

<Item>

  <dimension>0</dimension>

  <parameter>0</parameter>

  </Item>

  </its>

  </parametrizedDimensions>

<unitInfo>

  <unit>4294967295</unit>

  <measure>4294967295</measure>

  <baseUnit>4294967295</baseUnit>

  <unitsDimensionKey>0</unitsDimensionKey>

  </unitInfo>

  <level>Year</level>

  </slice>

  <date>1899-12-30</date>

  </termInfo>

<unitInfo>

  <unit>4294967295</unit>

  <measure>4294967295</measure>

  <baseUnit>4294967295</baseUnit>

  <unitsDimensionKey>0</unitsDimensionKey>

  </unitInfo>

  <included>0</included>

  </explained>

<dependenceForms>

<its>

<Item>

  <dependenceForm>Linear</dependenceForm>

  <expression>A1*t + A0</expression>

<statCoefficients>

<intercept>

  <mode>AutoEstimate</mode>

  <estimate>-0.4928571428571348</estimate>

  <standardError>0.2910409353847357</standardError>

  <tStatistic>-1.693428940522103</tStatistic>

  <probability>0.1018820994993999</probability>

  </intercept>

<coefficients>

<estimate>

  <d>1.598351648351648</d>

  </estimate>

<standardError>

  <d>0.01498937077595134</d>

  </standardError>

<tStatistic>

  <d>106.6323378240808</d>

  </tStatistic>

<probability>

  <d>0</d>

  </probability>

  </coefficients>

  </statCoefficients>

  <criterionValue>0.9981691131922996</criterionValue>

<summaryStatistics>

  <stR2>0.9981691131922996</stR2>

  <stAdjR2>0.9980928262419788</stAdjR2>

  <stR2_2>0.9981691131922996</stR2_2>

  <stAdjR2_2>0.9980928262419788</stAdjR2_2>

  <stSE>0.5350176585813732</stSE>

  <stSSR>6.869853479853474</stSSR>

  <stLogL>-19.59000298921173</stLogL>

  <stDW>3.366608997117618</stDW>

  <stDWLowerBound>5.226173552036746e-05</stDWLowerBound>

  <stDWUpperBound>6.112166540301281e-06</stDWUpperBound>

  <stSD>12.25104077211402</stSD>

  <stAIC>1.660769460708595</stAIC>

  <stSC>1.757546117479478</stSC>

  <stFstat_2>13084.40184060549</stFstat_2>

  <stProbFstat_2>0</stProbFstat_2>

  <stFstat>13084.40184060549</stFstat>

  <stProbFstat>0</stProbFstat>

  <stME>-3.552713678800501e-15</stME>

  <stMAE>0.31025641025641</stMAE>

  <stMSE>0.2642251338405183</stMSE>

  <stMaxAE>1.933150183150188</stMaxAE>

  <stSqMSE>0.5140283395305343</stSqMSE>

  <stVE>0.2642251338405183</stVE>

  <stSEE>0.5140283395305344</stSEE>

  <stMD>21.1</stMD>

  <stHQcriterion>1.688637636217742</stHQcriterion>

  <stAvgLogL>NaN</stAvgLogL>

  <stMcFaddenRsquared>NaN</stMcFaddenRsquared>

  <stRestrLogL>NaN</stRestrLogL>

  <stLRstatistic>NaN</stLRstatistic>

  <stLRprobability>NaN</stLRprobability>

  <stIncludedObservations>26</stIncludedObservations>

  <stJstat>NaN</stJstat>

  <stProbJstat>NaN</stProbJstat>

  <stNumOfIter>-1</stNumOfIter>

  <stJBStat>46.45284363973704</stJBStat>

  <stProbJBStat>8.182632349473806e-11</stProbJBStat>

  </summaryStatistics>

  <errors />

  </Item>

<Item>

  <dependenceForm>Polynomial</dependenceForm>

  <expression>An*t^n + ... + A2*t^2 + A1*t + A0</expression>

<statCoefficients>

<intercept>

  <mode>AutoEstimate</mode>

  <estimate>-0.465181344869594</estimate>

  <standardError>0.7871206378330464</standardError>

  <tStatistic>-0.590991167694757</tStatistic>

  <probability>0.5594417347097805</probability>

  </intercept>

<coefficients>

<estimate>

  <d>1.582420928890241</d>

  <d>0.001388551345301276</d>

  <d>-4.994188660429374e-06</d>

  <d>-1.199216706196811e-06</d>

  </estimate>

<standardError>

  <d>0.392724727858397</d>

  <d>0.05749696262512111</d>

  <d>0.003169750766421726</d>

  <d>5.829715944935267e-05</d>

  </standardError>

<tStatistic>

  <d>4.029338660489969</d>

  <d>0.02414999474588944</d>

  <d>-0.001575577712082147</d>

  <d>-0.02057075709218157</d>

  </tStatistic>

<probability>

  <d>0.0007867132522725306</d>

  <d>0.9809986801874817</d>

  <d>0.9987602020207836</d>

  <d>0.9838143840419024</d>

  </probability>

  </coefficients>

  </statCoefficients>

  <criterionValue>0.9981742366165919</criterionValue>

<summaryStatistics>

  <stR2>0.9981742366165919</stR2>

  <stAdjR2>0.9978264721626093</stAdjR2>

  <stR2_2>0.9981742366165919</stR2_2>

  <stAdjR2_2>0.9978264721626093</stAdjR2_2>

  <stSE>0.5711571115361268</stSE>

  <stSSR>6.850629367224124</stSSR>

  <stLogL>-19.55357371328806</stLogL>

  <stDW>3.374546243247101</stDW>

  <stDWLowerBound>0.000686446402999863</stDWLowerBound>

  <stDWUpperBound>3.749894734120952e-09</stDWUpperBound>

  <stSD>12.25104077211402</stSD>

  <stAIC>1.888736439483697</stAIC>

  <stSC>2.130678081410905</stSC>

  <stFstat_2>2870.259525336149</stFstat_2>

  <stProbFstat_2>0</stProbFstat_2>

  <stFstat>2870.259525336149</stFstat>

  <stProbFstat>0</stProbFstat>

  <stME>-1.084602493287653e-15</stME>

  <stMAE>0.3119376087872172</stMAE>

  <stMSE>0.2634857448932355</stMSE>

  <stMaxAE>1.920839385280324</stMaxAE>

  <stSqMSE>0.5133086253836336</stSqMSE>

  <stVE>0.2634857448932355</stVE>

  <stSEE>0.5133086253836336</stSEE>

  <stMD>21.1</stMD>

  <stHQcriterion>1.958406878256565</stHQcriterion>

  <stAvgLogL>NaN</stAvgLogL>

  <stMcFaddenRsquared>NaN</stMcFaddenRsquared>

  <stRestrLogL>NaN</stRestrLogL>

  <stLRstatistic>NaN</stLRstatistic>

  <stLRprobability>NaN</stLRprobability>

  <stIncludedObservations>26</stIncludedObservations>

  <stJstat>NaN</stJstat>

  <stProbJstat>NaN</stProbJstat>

  <stNumOfIter>-1</stNumOfIter>

  <stJBStat>44.27599282059314</stJBStat>

  <stProbJBStat>2.429910717083317e-10</stProbJBStat>

  </summaryStatistics>

  <errors />

  </Item>

<Item>

  <dependenceForm>Logarithmic</dependenceForm>

  <expression>A1*ln(t) + A0</expression>

<statCoefficients>

<intercept>

  <mode>AutoEstimate</mode>

  <estimate>-9.757959888305843</estimate>

  <standardError>3.272527297090876</standardError>

  <tStatistic>-2.981781052515655</tStatistic>

  <probability>0.006007865777448607</probability>

  </intercept>

<coefficients>

<estimate>

  <d>13.5959840407783</d>

  </estimate>

<standardError>

  <d>1.206750999298278</d>

  </standardError>

<tStatistic>

  <d>11.26660267833573</d>

  </tStatistic>

<probability>

  <d>1.035826979745025e-11</d>

  </probability>

  </coefficients>

  </statCoefficients>

  <criterionValue>0.8590172900274078</criterionValue>

<summaryStatistics>

  <stR2>0.8590172900274078</stR2>

  <stAdjR2>0.8531430104452165</stAdjR2>

  <stR2_2>0.8590172900274078</stR2_2>

  <stAdjR2_2>0.8531430104452165</stAdjR2_2>

  <stSE>4.694834592219236</stSE>

  <stSSR>528.9953243591607</stSSR>

  <stLogL>-76.05988158036546</stLogL>

  <stDW>0.2565964910183629</stDW>

  <stDWLowerBound>1.273053136754938e-09</stDWLowerBound>

  <stDWUpperBound>2.323162006230125e-11</stDWUpperBound>

  <stSD>12.25104077211402</stSD>

  <stAIC>6.004606275412727</stAIC>

  <stSC>6.10138293218361</stSC>

  <stFstat_2>146.2336407398165</stFstat_2>

  <stProbFstat_2>1.065614263495718e-11</stProbFstat_2>

  <stFstat>146.2336407398165</stFstat>

  <stProbFstat>1.065614263495718e-11</stProbFstat>

  <stME>-3.962642180200559e-15</stME>

  <stMAE>3.81749483888947</stMAE>

  <stMSE>20.34597401381387</stMSE>

  <stMaxAE>10.75795988830584</stMaxAE>

  <stSqMSE>4.510651174033953</stSqMSE>

  <stVE>20.34597401381387</stVE>

  <stSEE>4.510651174033953</stSEE>

  <stMD>21.1</stMD>

  <stHQcriterion>6.032474450921874</stHQcriterion>

  <stAvgLogL>NaN</stAvgLogL>

  <stMcFaddenRsquared>NaN</stMcFaddenRsquared>

  <stRestrLogL>NaN</stRestrLogL>

  <stLRstatistic>NaN</stLRstatistic>

  <stLRprobability>NaN</stLRprobability>

  <stIncludedObservations>26</stIncludedObservations>

  <stJstat>NaN</stJstat>

  <stProbJstat>NaN</stProbJstat>

  <stNumOfIter>-1</stNumOfIter>

  <stJBStat>1.964796154276888</stJBStat>

  <stProbJBStat>0.374412152187965</stProbJBStat>

  </summaryStatistics>

  <errors />

  </Item>

  </its>

  </dependenceForms>

  </curveEstimation>

<summaryStatistics>

  <stR2>0.9981742366165919</stR2>

  <stAdjR2>0.9978264721626093</stAdjR2>

  <stR2_2>0.9981742366165919</stR2_2>

  <stAdjR2_2>0.9978264721626093</stAdjR2_2>

  <stSE>0.5711571115361268</stSE>

  <stSSR>6.850629367224124</stSSR>

  <stLogL>-19.55357371328806</stLogL>

  <stDW>3.374546243247101</stDW>

  <stDWLowerBound>0.000686446402999863</stDWLowerBound>

  <stDWUpperBound>3.749894734120952e-09</stDWUpperBound>

  <stSD>12.25104077211402</stSD>

  <stAIC>1.888736439483697</stAIC>

  <stSC>2.130678081410905</stSC>

  <stFstat_2>2870.259525336149</stFstat_2>

  <stProbFstat_2>0</stProbFstat_2>

  <stFstat>2870.259525336149</stFstat>

  <stProbFstat>0</stProbFstat>

  <stME>-1.084602493287653e-15</stME>

  <stMAE>0.3119376087872172</stMAE>

  <stMSE>0.2634857448932355</stMSE>

  <stMaxAE>1.920839385280324</stMaxAE>

  <stSqMSE>0.5133086253836336</stSqMSE>

  <stVE>0.2634857448932355</stVE>

  <stSEE>0.5133086253836336</stSEE>

  <stMD>21.1</stMD>

  <stHQcriterion>1.958406878256565</stHQcriterion>

  <stAvgLogL>NaN</stAvgLogL>

  <stMcFaddenRsquared>NaN</stMcFaddenRsquared>

  <stRestrLogL>NaN</stRestrLogL>

  <stLRstatistic>NaN</stLRstatistic>

  <stLRprobability>NaN</stLRprobability>

  <stIncludedObservations>26</stIncludedObservations>

  <stJstat>NaN</stJstat>

  <stProbJstat>NaN</stProbJstat>

  <stNumOfIter>-1</stNumOfIter>

  <stJBStat>44.27599282059314</stJBStat>

  <stProbJBStat>2.429910717083317e-10</stProbJBStat>

  </summaryStatistics>

  <name>An*t^n + ... + A2*t^2 + A1*t + A0</name>

<series>

<input>

  <k>4294967295</k>

  <lag>0</lag>

<inversion>

  <type>None</type>

  <lag>PrecidingValue</lag>

  <previousLag>-1</previousLag>

  <seasonality>None</seasonality>

  <dependence>Linear</dependence>

  <K>3</K>

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<slice>

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<its>

<Item>

<id>

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  <aggregator>None</aggregator>

<parametrizedDimensions>

<its>

<Item>

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  <level>Year</level>

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  <date>1899-12-30</date>

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<addFactor>

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<evaluateSeries>

<its>

<Item>

  <scenarioKey>4294967295</scenarioKey>

<fact>

  <d>1</d>

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  <d>7.5</d>

  <d>9.1</d>

  <d>10.7</d>

  <d>12.3</d>

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  <d>NaN</d>

  <d>NaN</d>

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<modelling>

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<input>

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<factors>

  <its />

  </factors>

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<dates>

  <it>1990A1</it>

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  <it>1992A1</it>

  <it>1993A1</it>

  <it>1994A1</it>

  <it>1995A1</it>

  <it>1996A1</it>

  <it>1997A1</it>

  <it>1998A1</it>

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  <it>2000A1</it>

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  <it>2003A1</it>

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  <it>2015A1</it>

  <it>2016A1</it>

  <it>2017A1</it>

  <it>2018A1</it>

  <it>2019A1</it>

  <it>2020A1</it>

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  </evaluateSeries>

<inversionInfo>

  <type>None</type>

  <lag>PrecidingValue</lag>

  <previousLag>-1</previousLag>

  <seasonality>None</seasonality>

  <dependence>Linear</dependence>

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  </inversionInfo>

  <doUseR>0</doUseR>

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  </method>

  <calendarLevel>Year</calendarLevel>

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  </it>

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  </formulas>

  <displayId>0</displayId>

<series>

  <its />

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  <kind>Simple</kind>

<displaySettings>

  <displayTermsAs>Derive</displayTermsAs>

  </displaySettings>

  <additionalAttributes />

  <calculationType>Serie</calculationType>

  <calculationDirection>Forward</calculationDirection>

  </transform>

  <stochastic>0</stochastic>

  <calculationPeriod>Forecast</calculationPeriod>

  <useModelPeriod>1</useModelPeriod>

  <useExistingData>0</useExistingData>

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<period>

  <identificationStartDate>1990-01-01</identificationStartDate>

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

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

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

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  <autoPeriod>28672</autoPeriod>

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  </period>

  <isExclusive>1</isExclusive>

  <useAutoPeriod>1</useAutoPeriod>

  <generatedName>MyOutputVavable|A[t] = An*t^n + ... + A2*t^2 + A1*t + A0</generatedName>

  <warnings />

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  </model>

  </Item>

  </its>

  </calculationChain>

<visualController>

  <userRPath />

  <isRExist>0</isRExist>

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<suppressEmptyFilter>

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  <variableTestUseR>0</variableTestUseR>

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JSON-запрос:

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}

JSON-ответ:

{
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                  {
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                                           "stMcFaddenRsquared" : "NaN",
                                           "stRestrLogL" : "NaN",
                                           "stLRstatistic" : "NaN",
                                           "stLRprobability" : "NaN",
                                           "stIncludedObservations" : "26",
                                           "stJstat" : "NaN",
                                           "stProbJstat" : "NaN",
                                           "stNumOfIter" : "-1",
                                           "stJBStat" : "46.45284363973704",
                                           "stProbJBStat" : "8.182632349473806e-11"
                                          },
                                         "errors" : ""
                                        },
                                        {
                                         "dependenceForm" : "Polynomial",
                                         "expression" : "An*t^n + ... + A2*t^2 + A1*t + A0",
                                         "statCoefficients" : 
                                          {
                                           "intercept" : 
                                            {
                                             "mode" : "AutoEstimate",
                                             "estimate" : "-0.465181344869594",
                                             "standardError" : "0.7871206378330464",
                                             "tStatistic" : "-0.590991167694757",
                                             "probability" : "0.5594417347097805"
                                            },
                                           "coefficients" : 
                                            {
                                             "estimate" : 
                                              {
                                               "d" : 
                                                [
                                                  "1.582420928890241",
                                                  "0.001388551345301276",
                                                  "-4.994188660429374e-06",
                                                  "-1.199216706196811e-06"
                                                ]
                                              },
                                             "standardError" : 
                                              {
                                               "d" : 
                                                [
                                                  "0.392724727858397",
                                                  "0.05749696262512111",
                                                  "0.003169750766421726",
                                                  "5.829715944935267e-05"
                                                ]
                                              },
                                             "tStatistic" : 
                                              {
                                               "d" : 
                                                [
                                                  "4.029338660489969",
                                                  "0.02414999474588944",
                                                  "-0.001575577712082147",
                                                  "-0.02057075709218157"
                                                ]
                                              },
                                             "probability" : 
                                              {
                                               "d" : 
                                                [
                                                  "0.0007867132522725306",
                                                  "0.9809986801874817",
                                                  "0.9987602020207836",
                                                  "0.9838143840419024"
                                                ]
                                              }
                                            }
                                          },
                                         "criterionValue" : "0.9981742366165919",
                                         "summaryStatistics" : 
                                          {
                                           "stR2" : "0.9981742366165919",
                                           "stAdjR2" : "0.9978264721626093",
                                           "stR2_2" : "0.9981742366165919",
                                           "stAdjR2_2" : "0.9978264721626093",
                                           "stSE" : "0.5711571115361268",
                                           "stSSR" : "6.850629367224124",
                                           "stLogL" : "-19.55357371328806",
                                           "stDW" : "3.374546243247101",
                                           "stDWLowerBound" : "0.000686446402999863",
                                           "stDWUpperBound" : "3.749894734120952e-09",
                                           "stSD" : "12.25104077211402",
                                           "stAIC" : "1.888736439483697",
                                           "stSC" : "2.130678081410905",
                                           "stFstat_2" : "2870.259525336149",
                                           "stProbFstat_2" : "0",
                                           "stFstat" : "2870.259525336149",
                                           "stProbFstat" : "0",
                                           "stME" : "-1.084602493287653e-15",
                                           "stMAE" : "0.3119376087872172",
                                           "stMSE" : "0.2634857448932355",
                                           "stMaxAE" : "1.920839385280324",
                                           "stSqMSE" : "0.5133086253836336",
                                           "stVE" : "0.2634857448932355",
                                           "stSEE" : "0.5133086253836336",
                                           "stMD" : "21.1",
                                           "stHQcriterion" : "1.958406878256565",
                                           "stAvgLogL" : "NaN",
                                           "stMcFaddenRsquared" : "NaN",
                                           "stRestrLogL" : "NaN",
                                           "stLRstatistic" : "NaN",
                                           "stLRprobability" : "NaN",
                                           "stIncludedObservations" : "26",
                                           "stJstat" : "NaN",
                                           "stProbJstat" : "NaN",
                                           "stNumOfIter" : "-1",
                                           "stJBStat" : "44.27599282059314",
                                           "stProbJBStat" : "2.429910717083317e-10"
                                          },
                                         "errors" : ""
                                        },
                                        {
                                         "dependenceForm" : "Logarithmic",
                                         "expression" : "A1*ln(t) + A0",
                                         "statCoefficients" : 
                                          {
                                           "intercept" : 
                                            {
                                             "mode" : "AutoEstimate",
                                             "estimate" : "-9.757959888305843",
                                             "standardError" : "3.272527297090876",
                                             "tStatistic" : "-2.981781052515655",
                                             "probability" : "0.006007865777448607"
                                            },
                                           "coefficients" : 
                                            {
                                             "estimate" : 
                                              {
                                               "d" : "13.5959840407783"
                                              },
                                             "standardError" : 
                                              {
                                               "d" : "1.206750999298278"
                                              },
                                             "tStatistic" : 
                                              {
                                               "d" : "11.26660267833573"
                                              },
                                             "probability" : 
                                              {
                                               "d" : "1.035826979745025e-11"
                                              }
                                            }
                                          },
                                         "criterionValue" : "0.8590172900274078",
                                         "summaryStatistics" : 
                                          {
                                           "stR2" : "0.8590172900274078",
                                           "stAdjR2" : "0.8531430104452165",
                                           "stR2_2" : "0.8590172900274078",
                                           "stAdjR2_2" : "0.8531430104452165",
                                           "stSE" : "4.694834592219236",
                                           "stSSR" : "528.9953243591607",
                                           "stLogL" : "-76.05988158036546",
                                           "stDW" : "0.2565964910183629",
                                           "stDWLowerBound" : "1.273053136754938e-09",
                                           "stDWUpperBound" : "2.323162006230125e-11",
                                           "stSD" : "12.25104077211402",
                                           "stAIC" : "6.004606275412727",
                                           "stSC" : "6.10138293218361",
                                           "stFstat_2" : "146.2336407398165",
                                           "stProbFstat_2" : "1.065614263495718e-11",
                                           "stFstat" : "146.2336407398165",
                                           "stProbFstat" : "1.065614263495718e-11",
                                           "stME" : "-3.962642180200559e-15",
                                           "stMAE" : "3.81749483888947",
                                           "stMSE" : "20.34597401381387",
                                           "stMaxAE" : "10.75795988830584",
                                           "stSqMSE" : "4.510651174033953",
                                           "stVE" : "20.34597401381387",
                                           "stSEE" : "4.510651174033953",
                                           "stMD" : "21.1",
                                           "stHQcriterion" : "6.032474450921874",
                                           "stAvgLogL" : "NaN",
                                           "stMcFaddenRsquared" : "NaN",
                                           "stRestrLogL" : "NaN",
                                           "stLRstatistic" : "NaN",
                                           "stLRprobability" : "NaN",
                                           "stIncludedObservations" : "26",
                                           "stJstat" : "NaN",
                                           "stProbJstat" : "NaN",
                                           "stNumOfIter" : "-1",
                                           "stJBStat" : "1.964796154276888",
                                           "stProbJBStat" : "0.374412152187965"
                                          },
                                         "errors" : ""
                                        }
                                      ]
                                    }
                                  }
                                },
                               "summaryStatistics" : 
                                {
                                 "stR2" : "0.9981742366165919",
                                 "stAdjR2" : "0.9978264721626093",
                                 "stR2_2" : "0.9981742366165919",
                                 "stAdjR2_2" : "0.9978264721626093",
                                 "stSE" : "0.5711571115361268",
                                 "stSSR" : "6.850629367224124",
                                 "stLogL" : "-19.55357371328806",
                                 "stDW" : "3.374546243247101",
                                 "stDWLowerBound" : "0.000686446402999863",
                                 "stDWUpperBound" : "3.749894734120952e-09",
                                 "stSD" : "12.25104077211402",
                                 "stAIC" : "1.888736439483697",
                                 "stSC" : "2.130678081410905",
                                 "stFstat_2" : "2870.259525336149",
                                 "stProbFstat_2" : "0",
                                 "stFstat" : "2870.259525336149",
                                 "stProbFstat" : "0",
                                 "stME" : "-1.084602493287653e-15",
                                 "stMAE" : "0.3119376087872172",
                                 "stMSE" : "0.2634857448932355",
                                 "stMaxAE" : "1.920839385280324",
                                 "stSqMSE" : "0.5133086253836336",
                                 "stVE" : "0.2634857448932355",
                                 "stSEE" : "0.5133086253836336",
                                 "stMD" : "21.1",
                                 "stHQcriterion" : "1.958406878256565",
                                 "stAvgLogL" : "NaN",
                                 "stMcFaddenRsquared" : "NaN",
                                 "stRestrLogL" : "NaN",
                                 "stLRstatistic" : "NaN",
                                 "stLRprobability" : "NaN",
                                 "stIncludedObservations" : "26",
                                 "stJstat" : "NaN",
                                 "stProbJstat" : "NaN",
                                 "stNumOfIter" : "-1",
                                 "stJBStat" : "44.27599282059314",
                                 "stProbJBStat" : "2.429910717083317e-10"
                                },
                               "name" : "An*t^n + ... + A2*t^2 + A1*t + A0",
                               "series" : 
                                {
                                 "input" : 
                                  {
                                   "k" : "4294967295",
                                   "lag" : "0",
                                   "inversion" : 
                                    {
                                     "type" : "None",
                                     "lag" : "PrecidingValue",
                                     "previousLag" : "-1",
                                     "seasonality" : "None",
                                     "dependence" : "Linear",
                                     "K" : "3"
                                    },
                                   "slice" : 
                                    {
                                     "k" : "0",
                                     "id" : "1",
                                     "n" : "MyInputVavable",
                                     "vis" : "1",
                                     "variableKey" : "2",
                                     "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"
                                    },
                                   "date" : "1899-12-30"
                                  },
                                 "addFactor" : 
                                  {
                                   "k" : "4294967295"
                                  }
                                },
                               "evaluateSeries" : 
                                {
                                 "its" : 
                                  {
                                   "Item" : 
                                    {
                                     "scenarioKey" : "4294967295",
                                     "fact" : 
                                      {
                                       "d" : 
                                        [
                                          "1",
                                          "4",
                                          "2",
                                          "7",
                                          "7.5",
                                          "9.1",
                                          "10.7",
                                          "12.3",
                                          "13.9",
                                          "15.5",
                                          "17.1",
                                          "18.7",
                                          "20.3",
                                          "21.9",
                                          "23.5",
                                          "25.1",
                                          "26.7",
                                          "28.3",
                                          "29.9",
                                          "31.5",
                                          "33.1",
                                          "34.7",
                                          "36.3",
                                          "37.9",
                                          "39.5",
                                          "41.1",
                                          "NaN",
                                          "NaN",
                                          "NaN"
                                        ]
                                      },
                                     "modelling" : 
                                      {
                                       "d" : 
                                        [
                                          "1.118621941960582",
                                          "2.913186226971609",
                                          "3.920839385280324",
                                          "6.083655743685077",
                                          "7.480263299190218",
                                          "9.284729796956913",
                                          "10.30170480827827",
                                          "12.47314753514884",
                                          "13.87757084976917",
                                          "15.68892737249664",
                                          "16.71175154982057",
                                          "18.8878874589317",
                                          "20.2957328472268",
                                          "22.10912521025945",
                                          "23.13248386971516",
                                          "25.30753777798089",
                                          "26.71256955764962",
                                          "28.52130157947111",
                                          "29.53803804032711",
                                          "31.70439276780075",
                                          "33.09853325968123",
                                          "34.89406676191454",
                                          "35.89518234657857",
                                          "38.04337871645274",
                                          "39.4167082445224",
                                          "41.18866305192973",
                                          "NaN",
                                          "NaN",
                                          "NaN"
                                        ]
                                      },
                                     "residuals" : 
                                      {
                                       "d" : 
                                        [
                                          "-0.1186219419605818",
                                          "1.086813773028391",
                                          "-1.920839385280324",
                                          "0.9163442563149227",
                                          "0.01973670080978174",
                                          "-0.1847297969569137",
                                          "0.398295191721731",
                                          "-0.1731475351488356",
                                          "0.02242915023083114",
                                          "-0.1889273724966447",
                                          "0.3882484501794323",
                                          "-0.187887458931705",
                                          "0.004267152773199001",
                                          "-0.2091252102594545",
                                          "0.3675161302848373",
                                          "-0.2075377779808925",
                                          "-0.01256955764961987",
                                          "-0.2213015794711097",
                                          "0.3619619596728931",
                                          "-0.2043927678007549",
                                          "0.0014667403187687",
                                          "-0.1940667619145344",
                                          "0.404817653421425",
                                          "-0.1433787164527374",
                                          "0.08329175547759604",
                                          "-0.08866305192972845",
                                          "NaN",
                                          "NaN",
                                          "NaN"
                                        ]
                                      },
                                     "input" : 
                                      {
                                       "d" : 
                                        [
                                          "3",
                                          "7",
                                          "2",
                                          "6",
                                          "4",
                                          "1",
                                          "5",
                                          "3.42857143",
                                          "3.28571429",
                                          "3.14285714",
                                          "3",
                                          "2.85714286",
                                          "2.71428571",
                                          "2.57142857",
                                          "2.42857143",
                                          "2.28571429",
                                          "2.14285714",
                                          "2",
                                          "1.85714286",
                                          "1.71428571",
                                          "1.57142857",
                                          "1.42857143",
                                          "1.28571429",
                                          "1.14285714",
                                          "1",
                                          "0.85714286",
                                          "0.71428571",
                                          "0.57142857",
                                          "NaN",
                                          "NaN",
                                          "NaN"
                                        ]
                                      },
                                     "factors" : 
                                      {
                                       "its" : ""
                                      }
                                    }
                                  },
                                 "dates" : 
                                  {
                                   "it" : 
                                    [
                                      "1990A1",
                                      "1991A1",
                                      "1992A1",
                                      "1993A1",
                                      "1994A1",
                                      "1995A1",
                                      "1996A1",
                                      "1997A1",
                                      "1998A1",
                                      "1999A1",
                                      "2000A1",
                                      "2001A1",
                                      "2002A1",
                                      "2003A1",
                                      "2004A1",
                                      "2005A1",
                                      "2006A1",
                                      "2007A1",
                                      "2008A1",
                                      "2009A1",
                                      "2010A1",
                                      "2011A1",
                                      "2012A1",
                                      "2013A1",
                                      "2014A1",
                                      "2015A1",
                                      "2016A1",
                                      "2017A1",
                                      "2018A1",
                                      "2019A1",
                                      "2020A1"
                                    ]
                                  }
                                },
                               "inversionInfo" : 
                                {
                                 "type" : "None",
                                 "lag" : "PrecidingValue",
                                 "previousLag" : "-1",
                                 "seasonality" : "None",
                                 "dependence" : "Linear",
                                 "K" : "3"
                                },
                               "doUseR" : "0",
                               "supportsR" : "0"
                              },
                             "calendarLevel" : "Year",
                             "outputSliceKey" : "0"
                            }
                          ]
                        }
                      },
                     "displayId" : "0",
                     "series" : 
                      {
                       "its" : ""
                      },
                     "kind" : "Simple",
                     "displaySettings" : 
                      {
                       "displayTermsAs" : "Derive"
                      },
                     "additionalAttributes" : "",
                     "calculationType" : "Serie",
                     "calculationDirection" : "Forward"
                    },
                   "stochastic" : "0",
                   "calculationPeriod" : "Forecast",
                   "useModelPeriod" : "1",
                   "useExistingData" : "0",
                   "treatNullsAsZeros" : "0",
                   "autoName" : "1",
                   "period" : 
                    {
                     "identificationStartDate" : "1990-01-01",
                     "identificationEndDate" : "2018-04-24",
                     "forecastStartDate" : "2018-04-25",
                     "forecastEndDate" : "2020-01-01",
                     "identificationStartDateParamID" : "",
                     "identificationEndDateParamID" : "",
                     "forecastStartDateParamID" : "",
                     "forecastEndDateParamID" : "",
                     "autoPeriod" : "28672",
                     "identificationStartOffset" : "0",
                     "identificationEndOffset" : "0",
                     "forecastEndOffset" : "0",
                     "isIdentStartCorrect" : "1",
                     "isIdentEndCorrect" : "1",
                     "isForecastEndCorrect" : "1"
                    },
                   "isExclusive" : "1",
                   "useAutoPeriod" : "1",
                   "generatedName" : "MyOutputVavable|A[t] = An*t^n + ... + A2*t^2 + A1*t + A0",
                   "warnings" : "",
                   "readOnly" : "0"
                  }
                }
              }
            },
           "visualController" : 
            {
             "userRPath" : "",
             "isRExist" : "0"
            },
           "suppressEmptyFilter" : 
            {
             "suppressEmpty" : "0",
             "suppressEmptyArea" : "SerieBounds"
            },
           "readOnly" : "0",
           "variableTestUseR" : "0",
           "calculateIdentOnFact" : "0"
          },
         "useScenarios" : "0",
         "readOnly" : "0"
        }
      }
    }
  }
}

public static MsCalculationChainEntry GetMsCurveEstimation(MsId ms, ulong modelKey, ulong eqKey)
{
    var getMsOp = new GetMs();
    // Задаем параметры выполнения операции
    getMsOp.tMs = ms;
    getMsOp.tArg = new GetMsArg()
    {  // Задаем шаблон извлечения данных
        pattern = new MsMdPattern()
        {            
            item = new MsItemPattern()
            {  // Указываем ключ рассчитываемого уравнения
                key = modelKey,
                problem = new MsProblemPattern()
                {
                    metamodel = new MsMetaModelPattern()
                    {
                        calculationChain = ListOperation.Get,
                        calcChainPattern = new MsCalculationChainPattern()
                        {
                            entryKeys = new long[] { (long)eqKey },
                            modelPattern = new MsModelPattern()
                            {
                                autoName = true,
                                calculationPeriod = true,
                                generatedName = true,
                                isExclusive = true,
                                period = true,
                                stochastic = true,
                                treatNullsAsZeros = true,
                                useAutoPeriod = true,
                                useExistingData = true,
                                useModelPeriod = true,
                                transform = new MsFormulaTransformPattern()
                                {
                                    additionalAttributes = true,
                                    calculationDirection = true,
                                    calculationType = true,
                                    displayId = true,
                                    displaySettings = true,
                                    formulaCount = true,
                                    outputs = ListOperation.Get,
                                    series = ListOperation.Get,
                                    kind = true,
                                    formulas = new TsFormulaPattern()
                                    {
                                        method = new TsMethodPattern()
                                        {
                                            series = true
                                        }
                                    },                                    
                                    equationsFormula = new TsFormulaPattern()
                                    {
                                        method = new TsMethodPattern() { }
                                    },
                                    transformVariable = new MsFormulaTransformVariablePattern()
                                    {
                                        slices = ListOperation.Get,
                                        transformSlice = new MsFormulaTransformSlicePattern()
                                        {
                                            selection = ListOperation.Get
                                        }
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }, // Задаем параметры расчёта уравнения
        execParams = new MsMdExecParams()
        {
            k = 0,
            execMethod = true,
            execEvaluateSeries = true,
            execGenerateName = true,
            execSummaryStatistics = true,
            execCoefficients = true,
            execStatCoefficients = true,
            scenarioKeys = new long[] { },
            modelKeys = new long[] { (long)eqKey }
        }
    };
    // Создаем прокси-объект для выполнения операции
    var somClient = new SomPortTypeClient();
    GetMsResult getMsResult = somClient.GetMs(getMsOp);
    MsMetaModel meta = getMsResult.meta.item.problemMd.metamodel;
    MsCalculationChainEntry chainEntry = meta.calculationChain.its.GetValue(0) as MsCalculationChainEntry;
    // Выводим ошибки и предупреждения
    MsModel eq = chainEntry.model;
            if (eq.warnings.Length != 0)
    {
        Console.WriteLine("-- Предупреждения --");
        Console.WriteLine("".PadRight(3) + printArray(eq.warnings));
    }
    if (eq.error == null) //Проверяем, возникли ли ошибки при расчёте уравнения
    {   // Уравнение рассчитано без ошибок 
        // Получаем результаты расчёта   
        TsFormula formula = eq.transform.formulas.its.GetValue(0) as TsFormula;
        TsCurveEstimationMethod curve = formula.method.curveEstimation;       
        // Выводим лучшую форму зависимости
        Console.WriteLine("Лучшая форма зависимости: "+curve.bestDependenceForm.Value);
        // Выводим данные о формах зависимости
        MsDependenceForms depForms = curve.dependenceForms;
        foreach (MsDependenceForm form in depForms.its)
        {
            Console.WriteLine("Исследуемая форма зависимости: "+ form.dependenceForm.ToString());
            if (form.errors == "")
            {
                Console.WriteLine("Значение критерия: ".PadRight(3) + form.criterionValue);
                Console.WriteLine("Уравнение: ".PadRight(3) + form.expression);
                // Получаем статистические характеристики и выводим в окно консоли
                StatSummaryStatistics stat = form.summaryStatistics;
                PrintStat(stat);
                // Поучаем значения коэффициентов и выводим в окно консоли
                StatModelCoefficients coef = form.statCoefficients;
                PrintCoef(coef);
            }
            else // Выводим ошибки, возникшие при подборе зависимости
            { Console.WriteLine("".PadRight(3)+form.errors);};
        };
        // Получаем рассчитанные значения и выводим в окно консоли
        MsEvaluateSeriesResult seriesRes = formula.method.evaluateSeries;
        printSeries(seriesRes);
    }
    else // При расчёте уравнения возникли ошибки
    {
        Console.WriteLine("-- Ошибки --");
        Console.WriteLine(eq.error);
    }
    // Возвращаем модель, содержащую уравнение
    return chainEntry;
}