我已经对某些数据运行了神经网络，但是在预测部分遇到了错误。神经网络可以很好地处理我提供的数据，但是计算功能是我出错的地方。
formula <- direction ~ rsi + momentum + roc + stoch + williamsad +
macd + adx + cmo + fastD + fastK + adx + ema
library(neuralnet)
nn.fit <- neuralnet(formula, data = train, hidden = c(5,3),
linear.output = TRUE)
#plot(nn.fit)
pr.nn <- compute(nn.fit, test)
错误是：
Error in neurons[[i]] %*% weights[[i]] : non-conformable arguments
我在网上查看了一些建议说要删除我所做的因变量，但仍然有错误。当我使用data(Boston)运行此神经网络时，没有出现错误。您认为问题可能是什么？
数据：
test <- structure(c(0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1,
1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1,
0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1,
1, 1, 1, -0.0087886549707602, -0.0126761843887159, -0.00564261535624044,
-0.000163063285779752, 0.0109218040219923, -0.0123496969365746,
0.0107583379894998, -0.00238224762817163, -0.0140550600772716,
0.00447205724741084, 0.00849967727604639, 0.0134746513574004,
-0.0175082604561083, 0.00624311091962526, 0.00961336070298957,
-0.00351161432973557, 0.0119865692380838, -0.000979411358491888,
0.00154179664734944, 0.00401563256651238, 0.00236642144094823,
-0.0288956410622938, -0.00927928294838842, -0.00724068360804975,
-0.00883402112865139, -0.050578649594534, -0.00175729735942876,
0.0284994362552065, -0.0160618664481138, 0.026578190890364, -0.00498545221124236,
-0.0248455856607925, 0.00780351501080179, 0.0042865888105148,
0.00229749257318224, -0.0480025938734183, 0.0426949269209413,
-0.0219976598372297, -0.0479621038301595, 0.0158124301340961,
0.0391427032421665, -0.00628734072666692, -0.0114111785046729,
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-0.0150129338873702, -0.0258125201711763, -0.00248399910225972,
0.00734519052177562, 0.0201693332256125, -0.00302427056940058,
-0.0390865579429535, 0.00564706862745101, 0.0115523854356538,
-0.0132323129099419, 0.024162977965372, -0.00401476323174632,
0.0400416930502221, 0.00190573730988342, 0.00563264240007388,
1219.641992, 1216.0529905, 1211.9979856, 1206.3969847, 1199.9509886,
1193.1179808, 1185.7209715, 1179.0619749, 1172.8479857, 1169.2699828,
1167.7309814, 1169.2739868, 1169.3999878, 1170.2729858, 1171.0019897,
1172.7689941, 1174.7, 1176.7939942, 1180.7199952, 1184.6089966,
1187.7949951, 1185.9269897, 1185.0529907, 1182.6129883, 1178.0299805,
1168.1029786, 1156.5709717, 1148.2319702, 1137.9259643, 1130.0429687,
1121.3169677, 1113.2949707, 1107.2059692, 1102.4249755, 1098.911975,
1095.860974, 1097.485974, 1093.6249755, 1086.4079772, 1077.9009704,
1074.0089783, 1072.2119812, 1068.344989, 1062.2379822, 1057.449994,
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1058.3970215, 1057.8680176, 1058.2380127, 1056.2290161, 1053.2240112,
1047.6460082, 1041.7940063, 1040.0410034, 1040.6190063, 1045.6369994,
1050.1010009, 1053.0730102, 1217.15554472911, 1212.80167770729,
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1183.95251873763, 1180.62084752452, 1176.63980928409, 1167.55220563799,
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1143.07035314131, 1137.82269769928, 1133.88338944221, 1130.76687940009,
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