Seasonal Decomposition by Loess - Parameters
Component	Window	Degree	Jump
Seasonal	201	0	21
Trend	15	1	2
Low-pass	9	1	1

Seasonal Decomposition by Loess - Time Series Components
t	Observed	Fitted	Seasonal	Trend	Remainder
1	4400	4013.56886974221	-461.249434976036	5247.68056523382	-386.431130257788
2	4400	4343.6318056555	-1226.40697004298	5682.77516438747	-56.3681943444972
3	5400	5907.06416131648	-1224.9339248576	6117.86976354112	507.064161316481
4	7300	8197.46926342228	-158.837770302431	6561.36850688016	897.469263422276
5	7200	7210.8100432832	184.322706497614	7004.86725021919	10.8100432831961
6	7100	6182.67834200363	572.53089070613	7444.79076729024	-917.321657996368
7	7000	5563.29196576204	551.993749876678	7884.71428436128	-1436.70803423796
8	10000	10791.6618623396	951.38350556525	8256.95463209512	791.66186233963
9	10100	10759.6078568047	811.197163366336	8629.19497982896	659.607856804707
10	9400	10234.8839341062	-461.249434976036	9026.36550086981	834.88393410623
11	8500	8802.87094813232	-1226.40697004298	9423.53602191066	302.87094813232
12	8300	8120.50931729304	-1224.9339248576	9704.42460756456	-179.490682706959
13	9200	8573.52457708396	-158.837770302431	9985.31319321847	-626.475422916037
14	10400	10572.6807966122	184.322706497614	10042.9964968902	172.680796612165
15	11700	12726.7893087319	572.53089070613	10100.679800562	1026.7893087319
16	12200	13675.7741325868	551.993749876678	10172.2321175365	1475.77413258683
17	10400	9604.83205992374	951.38350556525	10243.784434511	-795.167940076259
18	10400	9686.42658477865	811.197163366336	10302.376251855	-713.57341522135
19	9800	9700.28136577702	-461.249434976036	10360.968069199	-99.7186342229797
20	9200	9220.57131531841	-1226.40697004298	10405.8356547246	20.5713153184133