One-observation-ahead residuals. Total number of observations: 657 [1] 657 [1] 656 [1] 655 [1] 654 [1] 653 [1] 652 [1] 651 [1] 650 [1] 649 [1] 648 [1] 647 [1] 646 [1] 645 [1] 644 [1] 643 [1] 642 [1] 641 [1] 640 [1] 639 [1] 638 [1] 637 [1] 636 [1] 635 [1] 634 [1] 633 [1] 632 [1] 631 [1] 630 [1] 629 [1] 628 [1] 627 [1] 626 [1] 625 [1] 624 [1] 623 [1] 622 [1] 621 [1] 620 [1] 619 [1] 618 [1] 617 [1] 616 [1] 615 [1] 614 [1] 613 [1] 612 [1] 611 [1] 610 [1] 609 [1] 608 [1] 607 [1] 606 [1] 605 [1] 604 [1] 603 [1] 602 [1] 601 [1] 600 [1] 599 [1] 598 [1] 597 [1] 596 [1] 595 [1] 594 [1] 593 [1] 592 [1] 591 [1] 590 [1] 589 [1] 588 [1] 587 [1] 586 [1] 585 [1] 584 [1] 583 [1] 582 [1] 581 [1] 580 [1] 579 [1] 578 [1] 577 [1] 576 [1] 575 [1] 574 [1] 573 [1] 572 [1] 571 [1] 570 [1] 569 [1] 568 [1] 567 [1] 566 [1] 565 [1] 564 [1] 563 [1] 562 [1] 561 [1] 560 [1] 559 [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 mgc: 1.448122e-09 Matching hessian patterns... Done outer mgc: 2.148056e-13 iter: 1 value: -969.8001 mgc: 0.01558734 ustep: 1 iter: 2 value: -969.8001 mgc: 2.903416e-06 ustep: 1 iter: 3 mgc: 4.320988e-13 outer mgc: 0.3252236 iter: 1 value: -969.7981 mgc: 0.01558734 ustep: 1 iter: 2 value: -969.7981 mgc: 2.901378e-06 ustep: 1 iter: 3 mgc: 3.756995e-13 outer mgc: 0.3252147 iter: 1 value: -969.7989 mgc: 0.01781976 ustep: 1 iter: 2 value: -969.7989 mgc: 3.420814e-07 ustep: 1 iter: 3 mgc: 3.801404e-13 outer mgc: 0.4205737 iter: 1 value: -969.7993 mgc: 0.01781976 ustep: 1 iter: 2 value: -969.7993 mgc: 3.419629e-07 ustep: 1 iter: 3 mgc: 4.2788e-13 outer mgc: 0.4205737 iter: 1 value: -969.8017 mgc: 0.009239866 ustep: 1 iter: 2 value: -969.8017 mgc: 7.59475e-06 ustep: 1 iter: 3 mgc: 2.233769e-12 outer mgc: 0.2925125 iter: 1 value: -969.7966 mgc: 0.009239866 ustep: 1 iter: 2 value: -969.7966 mgc: 7.584734e-06 ustep: 1 iter: 3 mgc: 2.366995e-12 outer mgc: 0.2924464 iter: 1 value: -969.7566 mgc: 0.03514351 ustep: 1 iter: 2 value: -969.7566 mgc: 1.148264e-07 ustep: 1 mgc: 4.03233e-13 outer mgc: 0.01443109 iter: 1 value: -969.842 mgc: 0.03524728 ustep: 1 iter: 2 value: -969.842 mgc: 1.147387e-07 ustep: 1 mgc: 3.961276e-13 outer mgc: 0.01443238 iter: 1 value: -969.777 mgc: 0.07265495 ustep: 1 iter: 2 value: -969.777 mgc: 5.504084e-07 ustep: 1 iter: 3 mgc: 3.663458e-13 outer mgc: 0.05457345 iter: 1 value: -969.8215 mgc: 0.07285124 ustep: 1 iter: 2 value: -969.8215 mgc: 5.498517e-07 ustep: 1 iter: 3 mgc: 4.583001e-13 outer mgc: 0.05461391 iter: 1 value: -969.6984 mgc: 0.05738253 ustep: 1 iter: 2 value: -969.6984 mgc: 1.271112e-06 ustep: 1 iter: 3 mgc: 4.503065e-13 outer mgc: 0.08750457 iter: 1 value: -969.9001 mgc: 0.05754116 ustep: 1 iter: 2 value: -969.9001 mgc: 1.272068e-06 ustep: 1 iter: 3 mgc: 3.987921e-13 outer mgc: 0.08748769 iter: 1 value: -969.7615 mgc: 0.1022198 ustep: 1 iter: 2 value: -969.7615 mgc: 1.753358e-06 ustep: 1 iter: 3 mgc: 3.953504e-13 outer mgc: 0.0333044 iter: 1 value: -969.837 mgc: 0.1025057 ustep: 1 iter: 2 value: -969.837 mgc: 1.752982e-06 ustep: 1 iter: 3 mgc: 4.494183e-13 outer mgc: 0.03328939 iter: 1 value: -969.771 mgc: 0.08000424 ustep: 1 iter: 2 value: -969.771 mgc: 2.610158e-06 ustep: 1 iter: 3 mgc: 4.272138e-13 outer mgc: 0.04656453 iter: 1 value: -969.8275 mgc: 0.08023444 ustep: 1 iter: 2 value: -969.8275 mgc: 2.612494e-06 ustep: 1 iter: 3 mgc: 4.37872e-13 outer mgc: 0.04654066 iter: 1 value: -969.7853 mgc: 0.05016009 ustep: 1 iter: 2 value: -969.7853 mgc: 2.622204e-06 ustep: 1 iter: 3 mgc: 3.481659e-13 outer mgc: 0.06558964 iter: 1 value: -969.8132 mgc: 0.05028693 ustep: 1 iter: 2 value: -969.8132 mgc: 2.628065e-06 ustep: 1 iter: 3 mgc: 4.227729e-13 outer mgc: 0.06559076 iter: 1 value: -969.7957 mgc: 0.009374961 ustep: 1 iter: 2 value: -969.7957 mgc: 1.968604e-08 ustep: 1 mgc: 3.53495e-13 outer mgc: 0.07734042 iter: 1 value: -969.8028 mgc: 0.009393729 ustep: 1 iter: 2 value: -969.8028 mgc: 1.975113e-08 ustep: 1 mgc: 3.836931e-13 outer mgc: 0.07743453 iter: 1 value: -969.5014 mgc: 0.04070785 ustep: 1 iter: 2 value: -969.5014 mgc: 8.58704e-07 ustep: 1 iter: 3 mgc: 4.161116e-13 outer mgc: 0.06055849 iter: 1 value: -970.0972 mgc: 0.04078935 ustep: 1 iter: 2 value: -970.0972 mgc: 8.619256e-07 ustep: 1 iter: 3 mgc: 4.046763e-13 outer mgc: 0.06046515 iter: 1 value: -969.7905 mgc: 0.007677781 ustep: 1 iter: 2 value: -969.7905 mgc: 4.260883e-08 ustep: 1 mgc: 4.970468e-13 outer mgc: 0.07348245 iter: 1 value: -969.808 mgc: 0.007693151 ustep: 1 iter: 2 value: -969.808 mgc: 4.273631e-08 ustep: 1 mgc: 3.88134e-13 outer mgc: 0.0735692 iter: 1 value: -969.5495 mgc: 0.04407364 ustep: 1 iter: 2 value: -969.5495 mgc: 1.038298e-06 ustep: 1 iter: 3 mgc: 3.792522e-13 outer mgc: 0.1250475 iter: 1 value: -970.0491 mgc: 0.04416188 ustep: 1 iter: 2 value: -970.0491 mgc: 1.037054e-06 ustep: 1 iter: 3 mgc: 4.161671e-13 outer mgc: 0.1248759 iter: 1 value: -969.7937 mgc: 0.02045458 ustep: 1 iter: 2 value: -969.7937 mgc: 2.684966e-07 ustep: 1 iter: 3 mgc: 4.360956e-13 outer mgc: 0.05627667 iter: 1 value: -969.8049 mgc: 0.02049935 ustep: 1 iter: 2 value: -969.8049 mgc: 2.670575e-07 ustep: 1 iter: 3 mgc: 3.703704e-13 outer mgc: 0.05635194 iter: 1 value: -969.7801 mgc: 0.03290468 ustep: 1 iter: 2 value: -969.7801 mgc: 1.161874e-06 ustep: 1 iter: 3 mgc: 5.146994e-13 outer mgc: 0.2696463 iter: 1 value: -969.8182 mgc: 0.03297555 ustep: 1 iter: 2 value: -969.8182 mgc: 1.16342e-06 ustep: 1 iter: 3 mgc: 4.202749e-13 outer mgc: 0.2698984 iter: 1 value: -969.7965 mgc: 0.0125412 ustep: 1 iter: 2 value: -969.7965 mgc: 5.342519e-07 ustep: 1 iter: 3 mgc: 4.254375e-13 outer mgc: 0.07030762 iter: 1 value: -969.802 mgc: 0.01256916 ustep: 1 iter: 2 value: -969.802 mgc: 5.365988e-07 ustep: 1 iter: 3 mgc: 4.600764e-13 outer mgc: 0.07042253 iter: 1 value: -969.7922 mgc: 0.01091057 ustep: 1 iter: 2 value: -969.7922 mgc: 8.696488e-08 ustep: 1 iter: 3 mgc: 4.021228e-13 outer mgc: 0.04283473 iter: 1 value: -969.8064 mgc: 0.01092141 ustep: 1 iter: 2 value: -969.8064 mgc: 8.710789e-08 ustep: 1 iter: 3 mgc: 3.841372e-13 outer mgc: 0.04286067 iter: 1 value: -969.7966 mgc: 0.01012682 ustep: 1 iter: 2 value: -969.7966 mgc: 1.37467e-07 ustep: 1 iter: 3 mgc: 3.677059e-13 outer mgc: 0.03266476 iter: 1 value: -969.8019 mgc: 0.01014049 ustep: 1 iter: 2 value: -969.8019 mgc: 1.375251e-07 ustep: 1 iter: 3 mgc: 4.836131e-13 outer mgc: 0.03270208 iter: 1 value: -970.0143 mgc: 0.03967242 ustep: 1 iter: 2 value: -970.0143 mgc: 6.153994e-07 ustep: 1 iter: 3 mgc: 3.637091e-13 outer mgc: 0.08761483 iter: 1 value: -969.5843 mgc: 0.03958874 ustep: 1 iter: 2 value: -969.5843 mgc: 6.151995e-07 ustep: 1 iter: 3 mgc: 4.103384e-13 outer mgc: 0.08763723 outer mgc: 13.194