Forecast error using the forecast package in R

Question

I’m trying to create a time series forecast in the test data, but when I try to make the prediction it gives an error that I can’t understand and I can’t find anything like it on the internet that could help me

the code is this data from the regression model: Coefficients: Week A B C
(Intercept) 1577059200.0000016689 13307.1406976744 421.9365116279 11764.1041860465 Trend 604799.9999421 -49.6406976744 3.3934883721 132.4958139535 season2 -0.0000024300 -1623.2493023256 -60.2734883721 470.3541860465 season3 -0.0000023707 -604.0286046512 -179.6569767442 2591.2983720930 season4 -0.0000023117 -1379.5779069767 -71.5704651163 6243.1025581395 season5 -0.0000022545 105.0627906977 284.0460465116 5645.9267441860 season6 -0.0000021965 803.5434883721 281.5725581395 6478.3109302326 season7 -0.0000021393 1737.4641860465 131.2590697674 3960.7951162791 season8 -0.0000020813 30.2548837209 -5.4344186047 3176.7893023256 season9 -0.0000020232 315.1155813953 73.0420930233 507.0134883721 season10 -0.0000019661 -781.9337209302 -112.1913953488 3645.3976744186 season11 -0.0000019080 -1231.4530232558 -0.8148837209 7179.2918604651 season12 -0.0000018508 -3027.0323255814 -38.7483720930 5806.9260465116 season13 -0.0000017928 -1588.9116279070 -13.0818604651 3730.9402325581 season14 -0.0000017347 1877.0090697674 42.1546511628 4102.3644186046 season15 -0.0000016766 -274.2702325581 209.0811627907 4020.0586046512 season16 -0.0000016190 -1090.6695348837 524.4476744186 4888.0827906977 season17 -0.0000015614 315.9711627907 318.2541860465 6092.6869767442 season18 -0.0000015035 -1140.1881395349 130.1006976744 3948.4811627907 season19 -0.0000014456 -1184.5874418605 -52.6427906977 4073.0553488372 season20 -0.0000013878 -369.5467441860 -32.0062790698 9121.6195348837 season21 -0.0000013298 250.0139534884 -63.1997674419 6973.1537209302 season22 -0.0000012720 5.4646511628 42.7867441860 3997.8279069767 season23 -0.0000012141 25.2053488372 91.1332558140 5013.4020930233 season24 -0.0000011563 -406.6939534884 6.8397674419 3984.1962790698 season25 -0.0000010982 -3148.6532558140 162.1362790698 3399.8304651163 season26 -0.0000010406 -3424.1425581395 219.2927906977 2694.0746511628 season27 -0.0000009826 -113.8518604651 262.5693023256 1899.1488372093 season28 -0.0000009254 2670.3188372093 223.5458139535 3381.9730232558 season29 -0.0000008673 3248.1395348837 239.8223255814 3981.8772093023 season30 -0.0000008093 3307.4502325581 124.7188372093 4761.7113953488 season31 -0.0000007521 346.1609302326 123.1253488372 4663.9155813953 season32 -0.0000006941 -349.7383720930 17.2918604651 2963.4197674419 season33 -0.0000006360 -412.4876744186 -36.9816279070 2769.7739534884 season34 -0.0000005789 975.1930232558 134.8448837209 3458.8481395349 season35 -0.0000005217 66.4437209302 158.1513953488 1863.2823255814 season36 -0.0000004627 -421.4255813953 279.3679069767 1236.9665116279 season37 -0.0000004037 666.7451162791 467.8744186047 3097.1906976744 season38 -0.0000003466 528.0558139535 573.3609302326 6293.6748837209 season39 -0.0000002894 -2108.7134883721 113.5574418605 3380.1890697674 season40 -0.0000002304 532.4272093023 -74.7060465116 1339.8432558140 season41 -0.0000001751 431.9679069767 -82.3495348837 871.3774418605 season42 -0.0000001161 727.4286046512 13.9569767442 2422.8916279070 season43 -0.0000000590 1000.1093023256 57.6234883721 2077.4158139535 season44 NA NA NA NA Recipe
(Intercept) 506702.1467441845 Trend 557.6532558140 season2 96953.5367441874 season3 89019.2534883733 season4 47162.2302325593 season5 91814.4669767455 season6 6789.0937209311 season7 30525.2204651173 season8 -38702.4727906966 season9 54888.2739534896 season10 32269.0506976755 season11 31287.9174418615 season12 -143281.2658139527 season13 33281.0509302334 season14 103265.5076744194 season15 143273.5444186057 season16 179779.0511627916 season17 312225.7179069777 season18 245839.3846511634 season19 162875.6413953498 season20 652951.7581395357 season21 425870.0848837215 season22 259596.6316279077 season23 206232.1083720934 season24 316585.4351162799 season25 220887.0918604656 season26 260269.0786046516 season27 164424.3453488378 season28 219162.4720930237 season29 195462.0188372096 season30 204473.8455813959 season31 177113.7523255819 season32 90318.7890697678 season33 -278827.3241860461 season34 264292.8225581399 season35 42682.7093023259 season36 8912.2860465119 season37 71726.5427906979 season38 206990.4695348841 season39 -47733.4337209300 season40 17143.0330232559 season41 -86539.1302325579 season42 -13619.8634883721 season43 -11515.5967441860 season44 NA

applied code:

test <- window(dados_ts, start = 2020, drop.unused.levels = FALSE)
preditores <- tslm(test ~ trend + season)
fcast <- forecast(preditores)
autoplot(fcast) +
  ggtitle("Forecasts of beer production using regression") +
  xlab("Year") + ylab("megalitres")

Error presented:

Error in model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels) : 
  factor season has new levels 45, 46, 47, 48, 49, 50, 51, 52