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<meta>
<topic id="textscalc01func_forecastetsseasonxml">
<title id="tit" xml-lang="en-US">FORECAST.ETS.SEASONALITY</title>
<filename>/text/scalc/01/func_forecastetsseason.xhp</filename>
</topic>
</meta>
<body>
<section id="forecastetsseasonality">
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FORECAST_ETS_SEA" id="bm_id0603201617512578" localize="false"/>
<bookmark xml-lang="en-US" branch="index" id="bm_id976559765597655">
<bookmark_value>FORECAST.ETS.SEASONALITY function</bookmark_value>
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<paragraph id="hd_id0603201617435371" role="heading" level="1" xml-lang="en-US"><link href="text/scalc/01/func_forecastetsseason.xhp">FORECAST.ETS.SEASONALITY Function</link></paragraph>
<paragraph id="par_id0603201617510446" role="paragraph" xml-lang="en-US"><ahelp hid="HID_FUNC_FORECAST_ETS_SEA">Returns the number of samples in period as calculated by Calc in case of FORECAST.ETS functions when argument <emph>period_length</emph> equals 1. </ahelp></paragraph>
<embed href="text/scalc/01/exponsmooth_embd.xhp#intro"/>
<paragraph id="par_id0403201618595132" role="paragraph" xml-lang="en-US">The same result is returned with FORECAST.ETS.STAT functions when argument <emph>stat_type</emph> equals 9 (and <emph>period_length</emph> equals 1).</paragraph>
<embed href="text/scalc/00/avail_release.xhp#5.2"/>
<embed href="text/scalc/01/common_func.xhp#sectionsyntax"/>
<paragraph id="par_id0603201618013796" role="code" xml-lang="en-US">FORECAST.ETS.SEASONALITY (values, timeline, [data_completion], [aggregation])</paragraph>
<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#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.SEASONALITY(Values;Timeline;TRUE();1)</paragraph>
<paragraph id="hd_id04032016112394554" role="paragraph" xml-lang="en-US">Returns 6, the number of samples in period based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, no missing data, and AVERAGE 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_forecastetsmult.xhp">FORECAST.ETS.MULT</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/01/04060185.xhp#forecast">FORECAST</link>,
<link href="text/scalc/01/04060185.xhp#forecastlinear">FORECAST.LINEAR</link>
</paragraph>
</section>
</body>
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