One-observation-ahead residuals. Total number of observations: 558 [1] 558 [1] 557 [1] 556 [1] 555 [1] 554 [1] 553 [1] 552 [1] 551 [1] 550 [1] 549 [1] 548 [1] 547 [1] 546 [1] 545 [1] 544 [1] 543 [1] 542 [1] 541 [1] 540 [1] 539 [1] 538 [1] 537 [1] 536 [1] 535 [1] 534 [1] 533 [1] 532 [1] 531 [1] 530 [1] 529 [1] 528 [1] 527 [1] 526 [1] 525 [1] 524 [1] 523 [1] 522 [1] 521 [1] 520 [1] 519 [1] 518 [1] 517 [1] 516 [1] 515 [1] 514 [1] 513 [1] 512 [1] 511 [1] 510 [1] 509 [1] 508 [1] 507 [1] 506 [1] 505 [1] 504 [1] 503 [1] 502 [1] 501 [1] 500 [1] 499 [1] 498 [1] 497 [1] 496 [1] 495 [1] 494 [1] 493 [1] 492 [1] 491 [1] 490 [1] 489 [1] 488 [1] 487 [1] 486 [1] 485 [1] 484 [1] 483 [1] 482 [1] 481 [1] 480 [1] 479 [1] 478 [1] 477 [1] 476 [1] 475 [1] 474 [1] 473 [1] 472 [1] 471 [1] 470 [1] 469 [1] 468 [1] 467 [1] 466 [1] 465 [1] 464 [1] 463 [1] 462 [1] 461 [1] 460 [1] 459 [1] 458 [1] 457 [1] 456 [1] 455 [1] 454 [1] 453 [1] 452 [1] 451 [1] 450 [1] 449 [1] 448 [1] 447 [1] 446 [1] 445 [1] 444 [1] 443 [1] 442 [1] 441 [1] 440 [1] 439 [1] 438 [1] 437 [1] 436 [1] 435 [1] 434 [1] 433 [1] 432 [1] 431 [1] 430 [1] 429 [1] 428 [1] 427 [1] 426 [1] 425 [1] 424 [1] 423 [1] 422 [1] 421 [1] 420 [1] 419 [1] 418 [1] 417 [1] 416 [1] 415 [1] 414 [1] 413 [1] 412 [1] 411 [1] 410 [1] 409 [1] 408 [1] 407 [1] 406 [1] 405 [1] 404 [1] 403 [1] 402 [1] 401 [1] 400 [1] 399 [1] 398 [1] 397 [1] 396 [1] 395 [1] 394 [1] 393 [1] 392 [1] 391 [1] 390 [1] 389 [1] 388 [1] 387 [1] 386 [1] 385 [1] 384 [1] 383 [1] 382 [1] 381 [1] 380 [1] 379 [1] 378 [1] 377 [1] 376 [1] 375 [1] 374 [1] 373 [1] 372 [1] 371 [1] 370 [1] 369 [1] 368 [1] 367 [1] 366 [1] 365 [1] 364 [1] 363 [1] 362 [1] 361 [1] 360 [1] 359 [1] 358 [1] 357 [1] 356 [1] 355 [1] 354 [1] 353 [1] 352 [1] 351 [1] 350 [1] 349 [1] 348 [1] 347 [1] 346 [1] 345 [1] 344 [1] 343 [1] 342 [1] 341 [1] 340 [1] 339 [1] 338 [1] 337 [1] 336 [1] 335 [1] 334 [1] 333 [1] 332 [1] 331 [1] 330 [1] 329 [1] 328 [1] 327 [1] 326 [1] 325 [1] 324 [1] 323 [1] 322 [1] 321 [1] 320 [1] 319 [1] 318 [1] 317 [1] 316 [1] 315 [1] 314 [1] 313 [1] 312 [1] 311 [1] 310 [1] 309 [1] 308 [1] 307 [1] 306 [1] 305 [1] 304 [1] 303 [1] 302 [1] 301 [1] 300 [1] 299 [1] 298 [1] 297 [1] 296 [1] 295 [1] 294 [1] 293 [1] 292 [1] 291 [1] 290 [1] 289 [1] 288 [1] 287 [1] 286 [1] 285 [1] 284 [1] 283 [1] 282 [1] 281 [1] 280 [1] 279 [1] 278 [1] 277 [1] 276 [1] 275 [1] 274 [1] 273 [1] 272 [1] 271 [1] 270 [1] 269 [1] 268 [1] 267 [1] 266 [1] 265 [1] 264 [1] 263 [1] 262 [1] 261 [1] 260 [1] 259 [1] 258 [1] 257 [1] 256 [1] 255 [1] 254 [1] 253 [1] 252 [1] 251 [1] 250 [1] 249 [1] 248 [1] 247 [1] 246 [1] 245 [1] 244 [1] 243 [1] 242 [1] 241 [1] 240 [1] 239 [1] 238 [1] 237 [1] 236 [1] 235 [1] 234 [1] 233 [1] 232 [1] 231 [1] 230 [1] 229 [1] 228 [1] 227 [1] 226 [1] 225 [1] 224 [1] 223 [1] 222 [1] 221 [1] 220 [1] 219 [1] 218 [1] 217 [1] 216 [1] 215 [1] 214 [1] 213 [1] 212 [1] 211 [1] 210 [1] 209 [1] 208 [1] 207 [1] 206 [1] 205 [1] 204 [1] 203 [1] 202 [1] 201 [1] 200 [1] 199 [1] 198 [1] 197 [1] 196 [1] 195 [1] 194 [1] 193 [1] 192 [1] 191 [1] 190 [1] 189 [1] 188 [1] 187 [1] 186 [1] 185 [1] 184 [1] 183 [1] 182 [1] 181 [1] 180 [1] 179 [1] 178 [1] 177 [1] 176 [1] 175 [1] 174 [1] 173 [1] 172 [1] 171 [1] 170 [1] 169 [1] 168 [1] 167 [1] 166 [1] 165 [1] 164 [1] 163 [1] 162 [1] 161 [1] 160 [1] 159 [1] 158 [1] 157 [1] 156 [1] 155 [1] 154 [1] 153 [1] 152 [1] 151 [1] 150 [1] 149 [1] 148 [1] 147 [1] 146 [1] 145 [1] 144 [1] 143 [1] 142 [1] 141 [1] 140 [1] 139 [1] 138 [1] 137 [1] 136 [1] 135 [1] 134 [1] 133 [1] 132 [1] 131 [1] 130 [1] 129 [1] 128 [1] 127 [1] 126 [1] 125 [1] 124 [1] 123 [1] 122 [1] 121 [1] 120 [1] 119 [1] 118 [1] 117 [1] 116 [1] 115 [1] 114 [1] 113 [1] 112 [1] 111 [1] 110 [1] 109 [1] 108 [1] 107 [1] 106 [1] 105 [1] 104 [1] 103 [1] 102 [1] 101 [1] 100 [1] 99 [1] 98 [1] 97 [1] 96 [1] 95 [1] 94 [1] 93 [1] 92 [1] 91 [1] 90 [1] 89 [1] 88 [1] 87 [1] 86 [1] 85 [1] 84 [1] 83 [1] 82 [1] 81 [1] 80 [1] 79 [1] 78 [1] 77 [1] 76 [1] 75 [1] 74 [1] 73 [1] 72 [1] 71 [1] 70 [1] 69 [1] 68 [1] 67 [1] 66 [1] 65 [1] 64 [1] 63 [1] 62 [1] 61 [1] 60 [1] 59 [1] 58 [1] 57 [1] 56 [1] 55 [1] 54 [1] 53 [1] 52 [1] 51 [1] 50 [1] 49 [1] 48 [1] 47 [1] 46 [1] 45 [1] 44 [1] 43 [1] 42 [1] 41 [1] 40 [1] 39 [1] 38 [1] 37 [1] 36 [1] 35 [1] 34 [1] 33 [1] 32 [1] 31 [1] 30 [1] 29 [1] 28 [1] 27 [1] 26 [1] 25 [1] 24 [1] 23 [1] 22 [1] 21 [1] 20 [1] 19 [1] 18 [1] 17 [1] 16 [1] 15 [1] 14 [1] 13 [1] 12 [1] 11 [1] 10 [1] 9 [1] 8 [1] 7 [1] 6 [1] 5 [1] 4 [1] 3 [1] 2 [1] 1 One-observation-ahead residuals. Done iter: 1 value: 887.8806 mgc: 18.50707 ustep: 1 iter: 2 mgc: 1.147864e-10 Matching hessian patterns... Done outer mgc: 7.508089e-10 iter: 1 value: 887.8802 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8802 mgc: 3.876161e-05 ustep: 1 iter: 3 mgc: 1.119178e-10 outer mgc: 0.01501735 iter: 1 value: 887.881 mgc: 18.50707 ustep: 1 iter: 2 value: 887.881 mgc: 3.876383e-05 ustep: 1 iter: 3 mgc: 1.119272e-10 outer mgc: 0.01501721 iter: 1 value: 887.8803 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8803 mgc: 3.529743e-05 ustep: 1 iter: 3 mgc: 1.043419e-10 outer mgc: 0.0140073 iter: 1 value: 887.8809 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8809 mgc: 3.529892e-05 ustep: 1 iter: 3 mgc: 1.043288e-10 outer mgc: 0.01400727 iter: 1 value: 887.88 mgc: 18.50707 ustep: 1 iter: 2 value: 887.88 mgc: 0.0001382228 ustep: 1 iter: 3 mgc: 9.344112e-10 outer mgc: 0.02241557 iter: 1 value: 887.8812 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8812 mgc: 0.000138223 ustep: 1 iter: 3 mgc: 9.348669e-10 outer mgc: 0.02241549 iter: 1 value: 887.88 mgc: 18.50707 ustep: 1 iter: 2 value: 887.88 mgc: 6.62282e-05 ustep: 1 iter: 3 mgc: 2.148079e-10 outer mgc: 0.02325627 iter: 1 value: 887.8812 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8812 mgc: 6.621474e-05 ustep: 1 iter: 3 mgc: 2.148757e-10 outer mgc: 0.02325622 iter: 1 value: 887.8799 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8799 mgc: 3.911914e-05 ustep: 1 iter: 3 mgc: 1.431532e-10 outer mgc: 0.02357451 iter: 1 value: 887.8813 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8813 mgc: 3.911695e-05 ustep: 1 iter: 3 mgc: 1.431168e-10 outer mgc: 0.02357443 iter: 1 value: 887.8799 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8799 mgc: 8.07286e-05 ustep: 1 iter: 3 mgc: 8.4119e-10 outer mgc: 0.02389725 iter: 1 value: 887.8813 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8813 mgc: 8.072634e-05 ustep: 1 iter: 3 mgc: 8.408738e-10 outer mgc: 0.02389717 iter: 1 value: 887.88 mgc: 18.50707 ustep: 1 iter: 2 value: 887.88 mgc: 0.000259975 ustep: 1 iter: 3 value: 887.88 mgc: 4.165262e-08 ustep: 1 iter: 4 mgc: 1.24345e-14 outer mgc: 0.02597328 iter: 1 value: 887.8812 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8812 mgc: 0.0002597546 ustep: 1 iter: 3 value: 887.8812 mgc: 4.162496e-08 ustep: 1 iter: 4 mgc: 9.256484e-15 outer mgc: 0.02597318 iter: 1 value: 887.8795 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8795 mgc: 0.0009736295 ustep: 1 iter: 3 value: 887.8795 mgc: 5.824704e-07 ustep: 1 iter: 4 mgc: 2.331468e-14 outer mgc: 0.02963593 iter: 1 value: 887.8817 mgc: 18.50828 ustep: 1 iter: 2 value: 887.8817 mgc: 0.0009710799 ustep: 1 iter: 3 value: 887.8817 mgc: 5.821213e-07 ustep: 1 iter: 4 mgc: 2.303713e-14 outer mgc: 0.02963667 iter: 1 value: 887.9926 mgc: 18.50707 ustep: 1 iter: 2 value: 887.9926 mgc: 0.001552752 ustep: 1 iter: 3 value: 887.9926 mgc: 1.427861e-06 ustep: 1 iter: 4 mgc: 1.404987e-13 outer mgc: 0.1204435 iter: 1 value: 887.7686 mgc: 18.50707 ustep: 1 iter: 2 value: 887.7686 mgc: 0.001537546 ustep: 1 iter: 3 value: 887.7686 mgc: 1.391755e-06 ustep: 1 iter: 4 mgc: 1.348366e-13 outer mgc: 0.120361 iter: 1 value: 887.8888 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8888 mgc: 1.91961e-05 ustep: 1 iter: 3 mgc: 3.257516e-11 outer mgc: 0.02791288 iter: 1 value: 887.8724 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8724 mgc: 1.92527e-05 ustep: 1 iter: 3 mgc: 3.269551e-11 outer mgc: 0.02790616 iter: 1 value: 888.0379 mgc: 18.50707 ustep: 1 iter: 2 value: 888.0379 mgc: 0.0005547603 ustep: 1 iter: 3 value: 888.0379 mgc: 1.855388e-07 ustep: 1 iter: 4 mgc: 1.154632e-14 outer mgc: 0.1107153 iter: 1 value: 887.7232 mgc: 18.50789 ustep: 1 iter: 2 value: 887.7232 mgc: 0.0005529788 ustep: 1 iter: 3 value: 887.7232 mgc: 1.847416e-07 ustep: 1 iter: 4 mgc: 9.547918e-15 outer mgc: 0.110578 iter: 1 value: 888.0994 mgc: 18.4701 ustep: 1 iter: 2 value: 888.0994 mgc: 0.0001236489 ustep: 1 iter: 3 value: 888.0994 mgc: 1.382954e-08 ustep: 1 iter: 4 mgc: 1.06512e-14 outer mgc: 0.04828325 iter: 1 value: 887.6617 mgc: 18.54413 ustep: 1 iter: 2 value: 887.6617 mgc: 0.0001231092 ustep: 1 iter: 3 value: 887.6617 mgc: 1.366701e-08 ustep: 1 iter: 4 mgc: 9.880985e-15 outer mgc: 0.04816479 iter: 1 value: 887.8913 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8913 mgc: 1.201119e-05 ustep: 1 iter: 3 mgc: 1.013045e-11 outer mgc: 0.02663196 iter: 1 value: 887.8699 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8699 mgc: 1.201518e-05 ustep: 1 iter: 3 mgc: 1.013845e-11 outer mgc: 0.02661832 iter: 1 value: 887.8854 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8854 mgc: 2.76524e-05 ustep: 1 iter: 3 mgc: 3.541201e-11 outer mgc: 0.03899808 iter: 1 value: 887.8758 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8758 mgc: 2.767905e-05 ustep: 1 iter: 3 mgc: 3.543854e-11 outer mgc: 0.03901672 iter: 1 value: 887.9297 mgc: 18.50788 ustep: 1 iter: 2 value: 887.9297 mgc: 0.001033215 ustep: 1 iter: 3 value: 887.9297 mgc: 6.122202e-07 ustep: 1 iter: 4 mgc: 2.770006e-14 outer mgc: 0.2465586 iter: 1 value: 887.8316 mgc: 18.50707 ustep: 1 iter: 2 value: 887.8316 mgc: 0.001036401 ustep: 1 iter: 3 value: 887.8316 mgc: 6.097545e-07 ustep: 1 iter: 4 mgc: 2.758904e-14 outer mgc: 0.2466614 outer mgc: 4.542745