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*The author of this computation has been verified*
R Software Module: /rwasp_structuraltimeseries.wasp (opens new window with default values)
Title produced by software: Structural Time Series Models
Date of computation: Tue, 07 Dec 2010 14:24:49 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Dec/07/t1291731782svunlrkgdqqkc5m.htm/, Retrieved Tue, 07 Dec 2010 15:23:04 +0100
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/Dec/07/t1291731782svunlrkgdqqkc5m.htm/},
    year = {2010},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2010},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
1145.11 1176.86 1206.41 1192.72 1214.82 1199.07 1157.47 1100.1 1095.63 1105.63 1137.79 1124.72 1152.6 1211.85 1239.62 1244.13 1198.42 1227.99 1304.92 1340.26 1307.32 1356.51 1383.29 1437.87 1494.56 1521.42 1498.76 1488.75 1524.62 1439.27 1423.11 1466.85 1425.83 1363.45 1389.18 1395.89 1368.43 1349.03 1299.88 1365.41 1451.04 1433.75 1464.65 1475.57 1471.16 1429.12 1452.46 1538.09 1631.59 1665.5 1690.6 1711.74 1734.1 1748.09 1703.45 1745.74 1751.01 1795.65 1852.13 1877.1 1989.31 2097.76 2154.87 2152.18 2250.27 2346.9 2525.56 2409.36 2394.36 2401.33 2354.32 2450.41 2504.67 2661.39 2880.4 3064.42 3141.12 3327.7 3564.95 3403.13 3149.9 3006.84 3230.66 3361.13 3484.74 3411.13 3288.18 3280.37 3173.95 3165.26 3092.71 3053.05 3181.96 2999.93 3249.57 3210.52 3030.29 2803.47 2767.63 2882.6 2863.36 2897.06 3012.61 3142.95 3032.93 3045.78 3110.52 3013.24 2987.1 2995.55 2833.18 2848.96 2794.83 2845.26 2915.02 2 etc...
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk


Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
11145.111145.11000
21176.861175.216722547732.032664790710871.643277452274450.166505619947884
31206.411204.66062222994.046768786385451.749377770097540.24520093712861
41192.721191.129960635482.25960990013821.59003936451621-0.154754337672314
51214.821213.0690427124.699521245076451.750957287998970.171059531019326
61199.071197.474500449871.843149130868411.59549955012793-0.174662094746426
71157.471155.94625006478-4.790261706199291.52374993522378-0.370534233892112
81100.11098.62856688102-13.27859957561681.47143311898161-0.44636603246876
91095.631093.99744647367-11.82900886668911.63255352633450.0732062679800155
101105.631103.99889985791-8.078840363697821.631100142090510.184318475343271
111137.791136.10392892453-1.061854051996641.686071075466680.338654852522545
121124.721123.17737825362-3.1565206516751.54262174637882-0.0998640550950866
131152.61155.192991774572.73665382607353-2.59299177457090.34656442784202
141211.851210.383635581911.93987578228631.466364418096210.373304931411085
151239.621238.0526146019814.75875589196671.567385398021140.132035253992954
161244.131242.9073252163612.97979191004871.22267478363779-0.0830914198701297
171198.421197.156143230142.415537628834261.2638567698568-0.492731810528888
181227.991226.336055454327.234477242243961.65394454568430.224535046223715
191304.921303.1519805288619.77095813115621.768019471139160.583731202060873
201340.261338.9592843809122.66153216691441.300715619092950.134531208654628
211307.321306.1318159241312.65646059351041.18818407586787-0.46550674011867
221356.511354.8967727665219.16847442283571.613227233475490.302922609546934
231383.291381.7267939217720.55042126311721.5632060782320.064276145376103
241437.871436.4459782977126.71374393367161.424021702285040.286630202620345
251494.561502.230217358533.6604037645367-7.67021735849590.35555899661773
261521.421521.0321681974931.03031341340830.387831802507787-0.1131453645006
271498.761498.5494476430321.37753394555020.210552356967195-0.44880473564536
281488.751488.2080426569115.65484479499830.54195734308579-0.265900199066545
291524.621524.1010659702819.30565053644250.5189340297228550.169687681013925
301439.271439.615880254390.583798770784587-0.345880254391403-0.870298865988236
311423.111422.31250591532-2.642590043660580.797494084677819-0.149993918869345
321466.851465.742985079095.66767725898731.107014920905250.386364399231908
331425.831426.12295061891-2.5008866669343-0.292950618908548-0.379791033136096
341363.451363.02769140801-13.43032890655220.422308591990775-0.508169396667705
351389.181388.22199817675-6.463424917788270.9580018232540970.323938985198185
361395.891395.50830191947-3.983640317873450.3816980805304550.11529665104282
371368.431376.3503265385-6.69736843892517-7.92032653850451-0.134382542888754
381349.031348.44618788918-10.46843555986770.583812110824352-0.166145788621263
391299.881299.69840276743-17.3705334978210.181597232573979-0.321007267993408
401365.411364.48557673431-2.551909733245180.9244232656901360.688578428822452
411451.041449.2990335801313.20373562142891.740966419869190.732355079498275
421433.751434.440515370588.14322987748851-0.690515370575167-0.235250753678173
431464.651464.139484304712.03028183342060.5105156953044450.180712827828075
441475.571474.4419741956811.71872186330931.12802580431957-0.0144854367966041
451471.161471.131742098089.008680849335330.0282579019160982-0.126002770798525
461429.121429.46184728594-0.129744196861848-0.341847285937465-0.424898948507555
471452.461451.404498826773.850484136329691.055501173232320.185070081559528
481538.091537.0375700132618.59524580438551.052429986737020.685546954275455
491631.591629.1163751792931.7656530512792.473624820713040.641560336870362
501665.51664.8935280649932.48110378284260.606471935009990.0319307947821716
511690.61691.7475315024831.4669032826609-1.14753150248163-0.0471810353987146
521711.741712.489398248829.5330254794359-0.749398248798239-0.0898681923335056
531734.11732.7071365885627.8535647795811.3928634114442-0.0780690349588442
541748.091749.7075023819525.8969300263111-1.61750238195294-0.0909629391300372
551703.451704.342390515813.0500158685358-0.892390515799822-0.5972817833286
561745.741744.7084442816417.97440450920841.031555718358690.228955016448735
571751.011751.2372802802115.9110711496109-0.227280280212382-0.0959354050394273
581795.651796.1982919779821.1480120160109-0.5482919779825110.24349831571716
591852.131851.988505352827.39328160455010.1414946471965860.290391432345093
601877.11877.3374428114627.0248183090284-0.23744281146018-0.0171315281979528
611989.311981.0752908949940.79053173674658.234709105009140.663830886794645
622097.762096.5653166362454.13884141315271.194683363755760.600677968495242
632154.872156.1412869490855.118447696527-1.271286949075010.0455796706810828
642152.182153.6464474121744.7327503770197-1.46644741217428-0.482652049186225
652250.272248.168131512953.7069118864652.101868487095320.417173494868627
662346.92347.1905073621361.8743940601742-0.2905073621315980.379712113737741
672525.562525.5305930040282.86524333544940.02940699598097780.975929061295112
682409.362411.0639859630647.3001385787212-1.70398596306181-1.6535872647289
692394.362394.9034374572535.8626822876683-0.543437457252318-0.531792774711333
702401.332402.3617830507930.7433842534371-1.0317830507854-0.238029968527487
712354.322354.718352788916.6153138967317-0.398352788899589-0.656929069938857
722450.412450.0530837820630.79918214450060.3569162179363690.659483805203036
732504.672501.1191828867234.43866145847783.550817113284710.174305586379265
742661.392658.8356949132956.49688363532442.55430508671170.998378360396581
752880.42878.0530507868985.80474265367942.346949213113471.36381252919092
763064.423064.94889379436104.023538632103-0.5288937943569290.846711069457916
773141.123139.4778143190598.7085561026481.64218568094895-0.247077201805063
783327.73328.44750974779114.973100187232-0.7475097477898150.756163988155837
793564.953560.59395147226136.0866514881774.356048527738530.981646091074355
803403.133408.1910219651284.1040405426251-5.06102196512444-2.41693340275417
813149.93153.4880356733923.0550617288122-3.58803567339436-2.83853207496619
823006.843006.79065830472-7.532432617331040.0493416952756723-1.42222230681311
833230.663227.1755428033133.5370341549563.484457196691021.9096623271131
843361.133359.769629797251.38058203009111.360370202800420.829666230516801
853484.743485.3129862307864.7050386483001-0.572986230781790.634957786916018
863411.133413.0336610412240.1707313081808-1.90366104122291-1.1152169354422
873288.183290.8343641131210.934381181242-2.65436411311825-1.36058333214752
883280.373280.649176037587.12902304613844-0.279176037582902-0.176858823995376
893173.953175.96346688036-13.0159250316494-2.01346688035851-0.936486090017072
903165.263169.80869052113-11.7798447815451-4.548690521131890.0574680192789654
913092.713087.81738383896-24.42866644451264.89261616103978-0.588095245826479
923053.053054.55930625475-26.0192983544262-1.5093062547513-0.0739569270139401
933181.963180.468310951591.350708281290481.491689048414551.27260053267724
942999.933007.40671790855-30.0700075478124-7.47671790855481-1.46097132092014
953249.573243.686499159217.91482911119235.88350084079792.2312199461023
963210.523213.012965122059.16455113248873-2.4929651220508-0.406875522486597
973030.293033.03911240367-24.8283462765243-2.74911240367261-1.61370155766344
982803.472805.19345884978-61.2155352636921-1.72345884977549-1.65947768627982
992767.632769.10559525306-56.6921968357855-1.475595253055880.210511971791199
1002882.62878.27585550141-26.81282587100364.324144498592321.38873165909203
1012863.362866.4567624217-24.1120137429732-3.096762421697020.125554287615793
1022897.062899.65402880206-13.7893308745001-2.594028802057490.479927863314409
1033012.613005.272521446627.718332815732287.337478553378220.999985755697336
1043142.953146.0997265471231.6936113847363-3.149726547125021.11474300122131
1053032.933030.500606813915.163659688805692.42939318608865-1.23354522862413
1063045.783057.245092334029.05076961317187-11.46509233402420.18073999212583
1073110.523104.4473346001615.92273174769036.072665399843560.319535413211359
1083013.243015.36841979454-2.98285513662926-2.12841979453713-0.879126520646335
1092987.12979.56400155235-8.883088095920917.53599844764479-0.279251612104289
1102995.552996.2656649044-4.29494409922182-0.7156649043990420.209799122193846
1112833.182840.24453576262-31.6016891130017-7.06453576261933-1.27083977008897
1122848.962843.04127565783-25.40609181872695.918724342170310.287969498223617
1132794.832798.46846949117-28.8579937481597-3.63846949116812-0.160470836256763
1142845.262847.81015843288-14.7748740181004-2.550158432884610.654764094732822
1152915.022909.63578392457-0.9799677793476085.384216075433580.641389180205974
1162892.632893.49155652164-3.71086153420647-0.861556521639588-0.12697475621762
1172604.422607.22952357466-54.5946486352199-2.80952357466442-2.36591555105076
1182641.652651.08965176595-36.8640438101232-9.439651765952460.824427833803069
1192659.812651.36790663602-30.17500854870618.442093363975620.311028879004144
1202638.532639.98883117728-26.7914577005245-1.458831177277290.157347006236803
1212720.252709.64184858545-9.4510544177179810.6081514145550.818708343590295
1222745.882743.06584615618-1.758880553722612.814153843821690.352489660948072
1232735.72743.8655487362-1.29849318901769-8.165548736197840.0214258207445044
1242811.72803.95592676599.756614812468987.744073234100740.513858636682326
1252799.432804.804903558428.15260362183374-5.37490355841746-0.074566652235284
1262555.282564.58931692041-36.569668370598-9.30931692041016-2.07927301198583
1272304.982303.95695866784-76.91479019236141.02304133216197-1.87583962086389
1282214.952209.02670395384-80.15866129026655.92329604615859-0.150826399884389
1292065.812071.25424244025-90.5325987763534-5.44424244025326-0.482352458679313
1301940.491950.86970384228-95.9078013495825-10.3797038422832-0.249934058037942
13120422029.96902156527-64.395319042016812.03097843472741.46527137924756
1321995.371998.60556977441-58.4501203906644-3.235569774408870.276489578599185
1331946.811938.62260740933-58.72575293115918.18739259066903-0.0129876822677015
1341765.91764.8281940757-79.37726226209621.07180592430355-0.948024500271205
1351635.251645.70424622657-86.5279866989382-10.4542462265658-0.332774217419835
1361833.421821.98813223473-39.206990683091711.43186776526672.19964596522415
1371910.431911.03255040344-16.1157056349435-0.6025504034404481.07345651255129
1381959.671964.51660869756-3.584967070445-4.846608697559860.582593006601698
1391969.61969.29699469473-2.07889063071810.3030053052670960.0700249962328003
1402061.412053.1022914573813.38336184205158.307708542620860.718931519686899
1412093.482097.5701871215418.979690014852-4.090187121537270.260210623146744
1422120.882134.98891575222.2994207607236-14.10891575199630.154360017972316
1432174.562163.8985491447623.489513650449710.66145085524270.0553367835763696
1442196.722200.0843990276225.7742969000576-3.364399027618620.106263746481928
1452350.442331.966641569844.856012078248618.47335843019680.897622625352897
1462440.252435.8861759455655.45917394008074.363824054443290.487472048099829
1472408.642425.8618863503943.6799758129961-17.2218863503911-0.548144707752667
1482472.812463.7882795354142.64414490712129.02172046459002-0.0481511512816665
1492407.62411.5194760832225.5574202357334-3.91947608321932-0.794317457142216
1502454.622458.3885508589829.3939039151621-3.768550858982230.178370203608194
1512448.052450.2796609859222.6428153082281-2.22966098592026-0.313892526951467
1522497.842489.7218113884925.6669369155358.118188611510260.140609563822119
1532645.642647.5127012848549.4511228791324-1.872701284848161.10588781724732
1542756.762770.0490035576362.6076801058195-13.28900355763190.611752011121603
1552849.272838.7394160834763.70266569773910.53058391653490.05091416206769
1562921.442926.3813181535768.0100967506847-4.941318153572280.20034864627798
1572981.852966.971005102663.078711311817514.8789948974018-0.231650837308685
1583080.583074.055492071870.98048566184546.524507928200620.363736985502257
1593106.223124.23985414967.2401542155892-18.019854148999-0.174046556023897
1603119.313109.6885412942352.51684235451529.62145870577486-0.684451375452457
1613061.263067.2923717761335.4319581257658-6.03237177613076-0.794230066865677
1623097.313099.341601600934.8230719054665-2.0316016008953-0.028309029942338
1633161.693162.570059258339.9359309581796-0.880059258300640.237723334056955
1643257.163250.4791637629348.57085875429056.68083623707190.401490309602558
1653277.013280.9037316961745.3046192278698-3.89373169617218-0.151869903669355
1663295.323308.8267013578942.175964604073-13.5067013578926-0.145476141022123
1673363.993353.7253026994442.666024084726110.26469730055780.02278640713132
1683494.173496.2650524759160.6343670164281-2.095052475910010.835802314899443
1693667.033650.812242835277.524664730910516.21775716479950.79246789966204
1703813.063805.4921686936191.38142715224347.567831306387920.638548794285193
1713917.963934.3308595134898.1176279181224-16.37085951348360.313432174022635
1723895.513887.1783868230271.97040719233158.33161317697714-1.21557559649625
1733801.063809.4816436854645.0320845919712-8.42164368546511-1.25228755591981
1743570.123577.7531984466-4.77956458942819-7.63319844659587-2.31589723615852
1753701.613699.5047039884117.99332289979622.105296011587991.05883110387891
1763862.273852.4883131072342.28853718135249.781686892765651.12963403768392
1773970.13972.4488412080256.2677556665804-2.348841208021970.649991183034072
1784138.524149.3069069550977.9716376157892-10.78690695509021.00918867682811
1794199.754192.4973462065871.71187836846637.25265379341936-0.291059269188043
1804290.894294.0902236293977.0872328571182-3.200223629389230.250051247725968
1814443.914429.2420342768187.530466231842214.66796572319420.48947767050904
1824502.644497.637127794584.0933010902185.00287220550073-0.158539513430808
1834356.984376.1568737874447.1271496032999-19.1768737874378-1.71990511079141
1844591.274576.7047419160974.738606822257614.56525808391551.28370400007843
1854696.964697.7166753144783.0665315205833-0.7566753144731620.387141644214751
1864621.44635.0472898837956.839121664864-13.6472898837861-1.2193910541336
1874562.844565.8468999679134.1566864407595-3.0068999679108-1.05462648400838
1884202.524202.37773156213-37.40079567935660.142268437875095-3.32715257221106
1894296.494297.18866286674-13.6076977108558-0.698662866738111.10630896691821
1904435.234441.7429718075314.8558897048182-6.512971807531961.32350374807173
1914105.184107.28885687674-48.0052424344071-2.10885687674334-2.92282483374307
1924116.684118.78077451841-37.3031380654372-2.100774518412430.497869963878081
1933844.493836.62629463625-81.3416745486367.86370536374719-2.06226967093811
1943720.983710.40884277099-89.403462811352210.5711572290073-0.372151460557887
1953674.43694.69417301722-76.153875315135-20.29417301721650.61641569717431
1963857.623840.0065528947-36.29980763015317.61344710529921.85296348674199
1973801.063800.49258842396-36.87822167700870.56741157604068-0.0268888327304833
1983504.373522.18955088293-80.3228931296224-17.8195508829273-2.01986872761746
1993032.63033.21991783891-153.858348529203-0.619917838911121-3.41905444767713
2003047.033043.72190959366-124.2820769616023.308090406336081.37518676483354
2012962.342967.0541616924-115.713968080388-4.714161692402070.398392598091733
2022197.822210.73528776116-230.991257752039-12.9152877611642-5.36018361691756
2032014.452015.61988560857-224.535679218376-1.1698856085670.300159931233681
2041862.831857.18680743137-212.6463466530625.643192568627790.55312995120678
2051905.411887.58658877043-168.93217562799217.82341122956912.04550486622999
2061810.991800.17584201075-154.28553929958310.81415798924520.67660093883954
2071670.071696.1444218972-145.250258640175-26.07442189719980.420323967048481
2081864.441842.64780923153-92.752048322311321.79219076847352.44093736938866
2092052.022042.05529170749-40.17929307917239.964708292512762.44396146063652
2102029.62037.92367774298-33.6929335889708-8.323677742978440.30156887852946
2112070.832075.8438605808-20.8071637922571-5.01386058079590.599128104126242
2122293.412289.6717755461121.41189695897763.738224453890711.96303204033554
2132443.272430.7542468152442.9448819243212.51575318475851.00122419841374
2142513.172526.0923718585652.3724116843384-12.92237185855780.438363081444162
2152466.922471.5082229862933.1279705462674-4.58822298629274-0.894787876192797
2162502.662501.7790633548232.61411703020790.88093664518393-0.0239072653590417
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Dec/07/t1291731782svunlrkgdqqkc5m/1td5n1291731882.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/07/t1291731782svunlrkgdqqkc5m/1td5n1291731882.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/07/t1291731782svunlrkgdqqkc5m/24nnq1291731882.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/07/t1291731782svunlrkgdqqkc5m/24nnq1291731882.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/07/t1291731782svunlrkgdqqkc5m/3xw4t1291731882.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/07/t1291731782svunlrkgdqqkc5m/3xw4t1291731882.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/07/t1291731782svunlrkgdqqkc5m/4xw4t1291731882.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/07/t1291731782svunlrkgdqqkc5m/4xw4t1291731882.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/07/t1291731782svunlrkgdqqkc5m/5xw4t1291731882.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/07/t1291731782svunlrkgdqqkc5m/5xw4t1291731882.ps (open in new window)


 
Parameters (Session):
par1 = 12 ;
 
Parameters (R input):
par1 = 12 ;
 
R code (references can be found in the software module):
par1 <- as.numeric(par1)
nx <- length(x)
x <- ts(x,frequency=par1)
m <- StructTS(x,type='BSM')
m$coef
m$fitted
m$resid
mylevel <- as.numeric(m$fitted[,'level'])
myslope <- as.numeric(m$fitted[,'slope'])
myseas <- as.numeric(m$fitted[,'sea'])
myresid <- as.numeric(m$resid)
myfit <- mylevel+myseas
mylagmax <- nx/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(mylevel,na.action=na.pass,lag.max = mylagmax,main='Level')
acf(myseas,na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(myresid,na.action=na.pass,lag.max = mylagmax,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(mylevel,main='Level')
spectrum(myseas,main='Seasonal')
spectrum(myresid,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(mylevel,main='Level')
cpgram(myseas,main='Seasonal')
cpgram(myresid,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test1.png')
plot(as.numeric(m$resid),main='Standardized Residuals',ylab='Residuals',xlab='time',type='b')
grid()
dev.off()
bitmap(file='test5.png')
op <- par(mfrow = c(2,2))
hist(m$resid,main='Residual Histogram')
plot(density(m$resid),main='Residual Kernel Density')
qqnorm(m$resid,main='Residual Normal QQ Plot')
qqline(m$resid)
plot(m$resid^2, myfit^2,main='Sq.Resid vs. Sq.Fit',xlab='Squared residuals',ylab='Squared Fit')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Structural Time Series Model',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observed',header=TRUE)
a<-table.element(a,'Level',header=TRUE)
a<-table.element(a,'Slope',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Stand. Residuals',header=TRUE)
a<-table.row.end(a)
for (i in 1:nx) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
a<-table.element(a,mylevel[i])
a<-table.element(a,myslope[i])
a<-table.element(a,myseas[i])
a<-table.element(a,myresid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
 





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Software written by Ed van Stee & Patrick Wessa


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