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<meta>
<topic id="textscalc01func_forecastetsmultxml">
<title id="tit" xml-lang="en-US">FORECAST.ETS.MULT</title>
<filename>/text/scalc/01/func_forecastetsmult.xhp</filename>
</topic>
</meta>
<body>
<section id="function_forecastetsmult">
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FORECAST_ETS_MULT" id="bm_id0603201610024692" localize="false"/>
<bookmark xml-lang="en-US" branch="index" id="bm_id976559765597655">
<bookmark_value>FORECAST.ETS.MULT function</bookmark_value>
</bookmark>
<paragraph id="hd_id0603201610022291" role="heading" level="1" xml-lang="en-US"><link href="text/scalc/01/func_forecastetsmult.xhp"> FORECAST.ETS.MULT Function</link></paragraph>
<paragraph id="par_id0603201610023949" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_FORECAST_ETS_MULT">Calculates the multiplicative forecast(s) (future values) based on the historical data using ETS or EDS algorithms</ahelp>. EDS is used when argument <emph>period_length</emph> is 0, otherwise ETS is used.</paragraph>
<embed href="text/scalc/01/exponsmooth_embd.xhp#intro"/>
<paragraph id="par_id0603201608440530" role="paragraph" xml-lang="en-US">FORECAST.ETS.MULT calculates with the model </paragraph>
<embed href="text/scalc/01/exponsmooth_embd.xhp#etsmult"/>
<embed href="text/scalc/00/avail_release.xhp#5.2"/>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph id="par_id0403201618594544" role="code" xml-lang="en-US">FORECAST.ETS.MULT(targets, values, timeline, [period_length], [data_completion], [aggregation]) </paragraph>
<embed href="text/scalc/01/exponsmooth_embd.xhp#target"/>
<embed href="text/scalc/01/exponsmooth_embd.xhp#values"/>
<embed href="text/scalc/01/exponsmooth_embd.xhp#timeline"/>
<embed href="text/scalc/01/exponsmooth_embd.xhp#numsampperiod"/>
<embed href="text/scalc/01/exponsmooth_embd.xhp#datacompletion"/>
<embed href="text/scalc/01/exponsmooth_embd.xhp#aggregation"/>
<embed href="text/scalc/01/exponsmooth_embd.xhp#exampledata"/>
<paragraph id="hd_id04032016185123" role="code" xml-lang="en-US">=FORECAST.ETS.MULT(DATE(2014;1;1);Values;Timeline;1;TRUE();1)</paragraph>
<paragraph id="hd_id04032016112394554" role="paragraph" xml-lang="en-US">Returns 131.71437427439, the multiplicative forecast for January 2014 based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with one sample per period, no missing data, and AVERAGE as aggregation.</paragraph>
<paragraph id="hd_id04032123185123" role="code" xml-lang="en-US">=FORECAST.ETS.MULT(DATE(2014;1;1);Values;Timeline;4;TRUE();7)</paragraph>
<paragraph id="hd_id040312316112394554" role="paragraph" xml-lang="en-US">Returns 120.747806144882, the multiplicative forecast for January 2014 based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with period length of 4, no missing data, and SUM as aggregation.</paragraph>
</section>
<section id="relatedtopics">
<paragraph id="par_id0603201619261276" role="paragraph" xml-lang="en-US">See also:
<link href="text/scalc/01/func_forecastetsadd.xhp">FORECAST.ETS.ADD</link>,
<link href="text/scalc/01/func_forecastetsstatadd.xhp">FORECAST.ETS.STAT.ADD</link>,
<link href="text/scalc/01/func_forecastetsstatmult.xhp">FORECAST.ETS.STAT.MULT</link>,
<link href="text/scalc/01/func_forecastetspiadd.xhp">FORECAST.ETS.PI.ADD</link>,
<link href="text/scalc/01/func_forecastetspimult.xhp">FORECAST.ETS.PI.MULT</link>,
<link href="text/scalc/01/func_forecastetsseason.xhp">FORECAST.ETS.SEASONALITY</link>,
<link href="text/scalc/01/04060185.xhp#forecast">FORECAST</link>,
<link href="text/scalc/01/04060185.xhp#forecastlinear">FORECAST.LINEAR</link>
</paragraph>
</section>
</body>
</helpdocument>
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