serie 3
## [1] 30 25
for (j in 2:25) {
I11=ts(Historico[,j], start = c(2008,1), frequency = 2)
I11=na_ma(I11, 3)
mod1=HoltWinters(I11, seasonal = "additive")
print(paste0("Espacio Académico: ", j))
pred=predict(mod1, 2, prediction.interval = TRUE)
print(pred)
plot(mod1, pred , main= paste("Espacio Académico: ",j ,sep=" "))
print(paste("RMSE:",j,rmse(mod1$x[3:30], mod1$fitted[,1])))
print(paste("MAPE:",j,MAPE(mod1$x[3:30], mod1$fitted[,1])))
print(paste("MAE:",j,MAE(mod1$x[3:30], mod1$fitted[,1])))
print("------------------------------------")
print("------------------------------------")
print("------------------------------------")
print("------------------------------------")
}
## [1] "Espacio Académico: 2"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 18.306171 64.08279 -27.47045
## 2023.5 5.495662 54.01502 -43.02369
## [1] "RMSE: 2 22.9698214762657"
## [1] "MAPE: 2 0.74070813100936"
## [1] "MAE: 2 19.3737139848094"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 3"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 16.62792 123.6298 -90.37399
## 2023.5 12.21174 153.1002 -128.67670
## [1] "RMSE: 3 54.6973756823981"
## [1] "MAPE: 3 3.52001704335656"
## [1] "MAE: 3 45.227028381616"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 4"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 9 50.80087 -32.80087
## 2023.5 9 68.11536 -50.11536
## [1] "RMSE: 4 20.9484728884691"
## [1] "MAPE: 4 0.435995230532129"
## [1] "MAE: 4 13.5544217687075"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 5"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 30.22196 138.2961 -77.85216
## 2023.5 28.37445 167.7252 -110.97626
## [1] "RMSE: 5 55.0755637677662"
## [1] "MAPE: 5 0.362416876079528"
## [1] "MAE: 5 29.3685313462727"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 6"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 6.37704 63.71884 -50.96476
## 2023.5 5.25408 90.74688 -80.23872
## [1] "RMSE: 6 29.4825509306635"
## [1] "MAPE: 6 12.0809632137542"
## [1] "MAE: 6 20.8411420021792"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 7"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 53.89951 127.7080 -19.90898
## 2023.5 60.66495 138.6002 -17.27032
## [1] "RMSE: 7 36.9805367916554"
## [1] "MAPE: 7 0.556596253011953"
## [1] "MAE: 7 30.4602477953624"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 8"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 12.180619 62.74259 -38.38135
## 2023.5 3.838892 80.32781 -72.65002
## [1] "RMSE: 8 25.3749367556727"
## [1] "MAPE: 8 0.621211020081806"
## [1] "MAE: 8 19.9238038956405"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 9"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 -1.8668640 44.68229 -48.41602
## 2023.5 0.8338896 52.13684 -50.46906
## [1] "RMSE: 9 23.5113708920588"
## [1] "MAPE: 9 1.53413267490915"
## [1] "MAE: 9 17.588082904434"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 10"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 -6.515302 27.34887 -40.37947
## 2023.5 -4.970605 40.16768 -50.10889
## [1] "RMSE: 10 17.0150727487278"
## [1] "MAPE: 10 1.07619598633126"
## [1] "MAE: 10 13.5727078748111"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 11"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 28.66313 80.64379 -23.31754
## 2023.5 23.71003 86.80804 -39.38798
## [1] "RMSE: 11 26.0652222960378"
## [1] "MAPE: 11 0.356500489304425"
## [1] "MAE: 11 18.0265797555239"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 12"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 13.12647 51.87357 -25.62062
## 2023.5 13.09365 58.80321 -32.61591
## [1] "RMSE: 12 19.4255859487393"
## [1] "MAPE: 12 0.496070478699094"
## [1] "MAE: 12 15.3972867573153"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 13"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 10.88940 62.08869 -40.30990
## 2023.5 -3.63081 54.68082 -61.94244
## [1] "RMSE: 13 26.1628629533199"
## [1] "MAPE: 13 0.309658921903693"
## [1] "MAE: 13 19.4191100688102"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 14"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 12 48.52516 -24.52516
## 2023.5 15 66.65438 -36.65438
## [1] "RMSE: 14 18.3850191343775"
## [1] "MAPE: 14 0.389621775632439"
## [1] "MAE: 14 13.875"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 15"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 -0.3970145 40.67169 -41.46572
## 2023.5 -7.6052280 36.95514 -52.16560
## [1] "RMSE: 15 20.8434888596738"
## [1] "MAPE: 15 0.926843008295679"
## [1] "MAE: 15 16.7333729877568"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 16"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 28.63661 84.07127 -26.79805
## 2023.5 17.38923 75.67364 -40.89518
## [1] "RMSE: 16 28.182766450298"
## [1] "MAPE: 16 0.177513271689133"
## [1] "MAE: 16 21.365392977024"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 17"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 -2.581412 23.82397 -28.98679
## 2023.5 -3.028587 27.65351 -33.71069
## [1] "RMSE: 17 13.5700806193197"
## [1] "MAPE: 17 0.445790006060366"
## [1] "MAE: 17 8.7658983141106"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 18"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 -2.603218 32.49122 -37.69766
## 2023.5 -6.166096 42.65696 -54.98915
## [1] "RMSE: 18 17.8596200155138"
## [1] "MAPE: 18 0.57849854540764"
## [1] "MAE: 18 12.7082214001969"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 19"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 14.451680 52.57532 -23.67196
## 2023.5 5.508909 56.04688 -45.02906
## [1] "RMSE: 19 19.2724959714272"
## [1] "MAPE: 19 0.388676813996154"
## [1] "MAE: 19 14.8808283303262"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 20"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 3.9403302 56.87038 -48.98972
## 2023.5 0.4403302 73.11381 -72.23315
## [1] "RMSE: 20 26.5482369609799"
## [1] "MAPE: 20 0.461282484940038"
## [1] "MAE: 20 21.0448024638744"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 21"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 18.85268 36.33774 1.367617
## 2023.5 21.31126 44.94053 -2.318020
## [1] "RMSE: 21 8.77536607795764"
## [1] "MAPE: 21 0.396318098413459"
## [1] "MAE: 21 5.71078561403085"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 22"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 -6.445774 26.74227 -39.63382
## 2023.5 -1.891548 45.19062 -48.97371
## [1] "RMSE: 22 16.925675483447"
## [1] "MAPE: 22 0.436782933960767"
## [1] "MAE: 22 11.7669429907152"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 23"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 1.432645 190.8889 -188.0236
## 2023.5 -8.976859 226.7876 -244.7413
## [1] "RMSE: 23 97.1441807770244"
## [1] "MAPE: 23 1.60772850251341"
## [1] "MAE: 23 59.6961641477577"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 24"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 12.77605 33.89206 -8.339965
## 2023.5 12.61336 38.04144 -12.814715
## [1] "RMSE: 24 10.7791682224783"
## [1] "MAPE: 24 0.676460569807377"
## [1] "MAE: 24 7.48871723659726"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 25"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 10.63037 61.43790 -40.17716
## 2023.5 25.26605 90.12365 -39.59156
## [1] "RMSE: 25 25.516575950746"
## [1] "MAPE: 25 0.996980873174251"
## [1] "MAE: 25 19.6180976687827"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
for (j in 2:25) {
I11=ts(Historico[,j], start = c(2008,1), frequency = 2)
I11=na_ma(I11, 3)
mod1=HoltWinters(I11, seasonal = "additive")
print(paste0("Espacio Académico: ", j))
pred=predict(mod1, 2, prediction.interval = TRUE)
print(pred)
plot(mod1, pred , main= paste("Espacio Académico: ",j ,sep=" "))
print(cbind(Real=mod1$x[3:30],Ajustado_modelo= mod1$fitted[,1]))
print("------------------------------------")
print("------------------------------------")
print("------------------------------------")
}
## [1] "Espacio Académico: 2"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 18.306171 64.08279 -27.47045
## 2023.5 5.495662 54.01502 -43.02369
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 97.00000 86.625000
## 2009.5 87.00000 82.769879
## 2010.0 96.00000 112.812015
## 2010.5 63.00000 101.596194
## 2011.0 122.00000 114.705836
## 2011.5 75.00000 103.648749
## 2012.0 137.00000 115.558401
## 2012.5 102.00000 106.268751
## 2013.0 112.00000 125.662504
## 2013.5 77.00000 106.615879
## 2014.0 106.00000 114.415520
## 2014.5 129.00000 90.721362
## 2015.0 141.00000 116.669342
## 2015.5 66.00000 108.958218
## 2016.0 88.00000 115.756694
## 2016.5 56.00000 86.952821
## 2017.0 56.00000 87.363170
## 2017.5 60.57143 48.487069
## 2018.0 56.00000 54.670845
## 2018.5 56.00000 24.388578
## 2019.0 43.50000 39.444229
## 2019.5 22.25000 15.060270
## 2020.0 11.00000 26.885596
## 2020.5 11.00000 -2.817443
## 2021.0 13.28571 10.032087
## 2021.5 6.00000 -13.257262
## 2022.0 21.00000 4.063661
## 2022.5 27.00000 -11.042593
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 3"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 16.62792 123.6298 -90.37399
## 2023.5 12.21174 153.1002 -128.67670
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 294 281.3750000
## 2009.5 331 322.6889215
## 2010.0 277 331.1784049
## 2010.5 328 315.9315375
## 2011.0 356 312.1482308
## 2011.5 303 390.7827502
## 2012.0 359 311.6890663
## 2012.5 318 364.4338624
## 2013.0 244 344.2309884
## 2013.5 177 252.3584893
## 2014.0 214 186.3556405
## 2014.5 273 196.2750727
## 2015.0 373 277.2273223
## 2015.5 227 362.5716484
## 2016.0 243 277.7746392
## 2016.5 189 203.2745415
## 2017.0 192 229.8350702
## 2017.5 118 153.1976563
## 2018.0 130 153.4983535
## 2018.5 46 84.4170353
## 2019.0 30 80.0339291
## 2019.5 42 -19.1306743
## 2020.0 30 53.1405083
## 2020.5 33 -0.4879552
## 2021.0 6 34.3773597
## 2021.5 9 -11.9378877
## 2022.0 7 0.4652448
## 2022.5 28 -6.8510773
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 4"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 9 50.80087 -32.80087
## 2023.5 9 68.11536 -50.11536
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 22.33333 22.33333
## 2009.5 22.33333 22.33333
## 2010.0 34.42857 22.33333
## 2010.5 20.00000 34.42857
## 2011.0 27.00000 20.00000
## 2011.5 107.00000 27.00000
## 2012.0 108.00000 107.00000
## 2012.5 96.00000 108.00000
## 2013.0 94.00000 96.00000
## 2013.5 90.00000 94.00000
## 2014.0 77.00000 90.00000
## 2014.5 61.00000 77.00000
## 2015.0 88.00000 61.00000
## 2015.5 80.00000 88.00000
## 2016.0 87.00000 80.00000
## 2016.5 108.00000 87.00000
## 2017.0 96.00000 108.00000
## 2017.5 94.00000 96.00000
## 2018.0 69.00000 94.00000
## 2018.5 51.00000 69.00000
## 2019.0 8.00000 51.00000
## 2019.5 22.00000 8.00000
## 2020.0 5.00000 22.00000
## 2020.5 9.00000 5.00000
## 2021.0 18.00000 9.00000
## 2021.5 9.00000 18.00000
## 2022.0 10.00000 9.00000
## 2022.5 9.00000 10.00000
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 5"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 30.22196 138.2961 -77.85216
## 2023.5 28.37445 167.7252 -110.97626
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 144 127.625000
## 2009.5 210 191.453798
## 2010.0 278 199.404059
## 2010.5 317 317.110704
## 2011.0 333 323.573041
## 2011.5 133 384.954505
## 2012.0 187 188.066073
## 2012.5 223 196.990282
## 2013.0 223 226.184842
## 2013.5 221 237.917987
## 2014.0 167 231.614057
## 2014.5 210 190.396883
## 2015.0 183 202.558797
## 2015.5 152 201.435676
## 2016.0 123 153.991760
## 2016.5 111 134.946934
## 2017.0 108 102.850952
## 2017.5 112 109.051465
## 2018.0 77 99.746425
## 2018.5 63 83.754446
## 2019.0 51 51.190970
## 2019.5 39 49.942234
## 2020.0 65 25.333463
## 2020.5 23 54.620414
## 2021.0 16 20.094650
## 2021.5 25 8.247618
## 2022.0 28 12.383983
## 2022.5 41 19.501053
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 6"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 6.37704 63.71884 -50.96476
## 2023.5 5.25408 90.74688 -80.23872
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 141 128.3750000
## 2009.5 162 160.8362311
## 2010.0 141 171.4594045
## 2010.5 126 157.7355785
## 2011.0 136 128.8766823
## 2011.5 96 150.1306148
## 2012.0 99 93.9014260
## 2012.5 115 107.9410595
## 2013.0 147 114.1881784
## 2013.5 181 160.1609843
## 2014.0 170 185.8665875
## 2014.5 208 183.6872665
## 2015.0 243 213.7605283
## 2015.5 158 262.3552364
## 2016.0 129 155.8102695
## 2016.5 120 134.4726683
## 2017.0 124 113.4408799
## 2017.5 133 129.0584580
## 2018.0 119 127.9756312
## 2018.5 110 123.5256496
## 2019.0 86 102.5940937
## 2019.5 49 87.3377735
## 2020.0 22 35.7801003
## 2020.5 21 17.8216134
## 2021.0 4 6.6580141
## 2021.5 41 -0.1233104
## 2022.0 29 30.7291842
## 2022.5 18 29.0461672
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 7"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 53.89951 127.7080 -19.90898
## 2023.5 60.66495 138.6002 -17.27032
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 186 173.750000
## 2009.5 187 209.903272
## 2010.0 240 184.185538
## 2010.5 197 224.777849
## 2011.0 238 222.076847
## 2011.5 200 233.624673
## 2012.0 269 237.529896
## 2012.5 246 239.331899
## 2013.0 257 272.319340
## 2013.5 212 258.708094
## 2014.0 226 266.799863
## 2014.5 180 226.422400
## 2015.0 299 221.209404
## 2015.5 235 204.889578
## 2016.0 192 261.065632
## 2016.5 167 201.683622
## 2017.0 166 205.236259
## 2017.5 163 146.718139
## 2018.0 138 153.915167
## 2018.5 108 112.876639
## 2019.0 92 105.153916
## 2019.5 69 64.203929
## 2020.0 110 54.696736
## 2020.5 34 39.892970
## 2021.0 43 49.198634
## 2021.5 72 7.078163
## 2022.0 48 38.269154
## 2022.5 78 28.752110
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 8"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 12.180619 62.74259 -38.38135
## 2023.5 3.838892 80.32781 -72.65002
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 39 58.125000
## 2009.5 53 32.915892
## 2010.0 30 23.288790
## 2010.5 19 31.569804
## 2011.0 16 -10.155017
## 2011.5 86 16.881048
## 2012.0 129 74.970705
## 2012.5 147 160.401338
## 2013.0 132 152.310723
## 2013.5 151 156.154933
## 2014.0 145 148.790960
## 2014.5 138 166.910947
## 2015.0 141 130.611060
## 2015.5 138 154.602237
## 2016.0 120 131.857912
## 2016.5 144 126.422629
## 2017.0 125 136.249326
## 2017.5 119 135.807651
## 2018.0 125 105.199199
## 2018.5 75 132.836659
## 2019.0 70 60.036438
## 2019.5 57 59.753083
## 2020.0 63 45.011639
## 2020.5 30 54.258733
## 2021.0 7 20.776942
## 2021.5 3 -11.752314
## 2022.0 19 -8.858041
## 2022.5 14 8.967710
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 9"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 -1.8668640 44.68229 -48.41602
## 2023.5 0.8338896 52.13684 -50.46906
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 25 24.0000000
## 2009.5 56 35.4633330
## 2010.0 38 46.0781890
## 2010.5 27 55.4790500
## 2011.0 33 44.6234178
## 2011.5 128 48.7427615
## 2012.0 63 83.8131243
## 2012.5 84 90.4068220
## 2013.0 96 91.6037038
## 2013.5 64 107.1682941
## 2014.0 75 91.1322443
## 2014.5 63 93.3259316
## 2015.0 67 77.3374162
## 2015.5 49 77.5916070
## 2016.0 41 58.3590451
## 2016.5 49 51.4849009
## 2017.0 71 39.7745253
## 2017.5 34 53.4359342
## 2018.0 52 36.7324123
## 2018.5 35 44.1735320
## 2019.0 23 31.8100042
## 2019.5 2 28.7017805
## 2020.0 15 6.4267608
## 2020.5 14 7.8379364
## 2021.0 5 -1.0146878
## 2021.5 15 0.6777738
## 2022.0 9 -3.1819076
## 2022.5 9 3.3923604
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 10"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 -6.515302 27.34887 -40.37947
## 2023.5 -4.970605 40.16768 -50.10889
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 5 6.2500000
## 2009.5 5 4.1483820
## 2010.0 15 3.4210319
## 2010.5 23 13.0772098
## 2011.0 62 24.6849562
## 2011.5 44 59.6473765
## 2012.0 58 61.9846552
## 2012.5 55 50.8028160
## 2013.0 77 70.6844650
## 2013.5 82 70.5867618
## 2014.0 85 98.8188214
## 2014.5 103 84.7028828
## 2015.0 129 112.5671301
## 2015.5 105 133.5011516
## 2016.0 106 124.5584851
## 2016.5 78 102.1007395
## 2017.0 95 92.8169485
## 2017.5 76 81.2974027
## 2018.0 86 91.8512156
## 2018.5 68 71.0056449
## 2019.0 47 81.8767494
## 2019.5 45 34.8924610
## 2020.0 17 44.2899920
## 2020.5 12 11.3750297
## 2021.0 17 0.9627922
## 2021.5 36 9.2243136
## 2022.0 10 27.9265367
## 2022.5 7 14.8742306
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 11"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 28.66313 80.64379 -23.31754
## 2023.5 23.71003 86.80804 -39.38798
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 20 22.50000
## 2009.5 22 14.77973
## 2010.0 28 24.72955
## 2010.5 36 21.05191
## 2011.0 68 36.29007
## 2011.5 137 52.26827
## 2012.0 81 115.64912
## 2012.5 84 86.35756
## 2013.0 120 88.92812
## 2013.5 129 105.09865
## 2014.0 112 125.98556
## 2014.5 126 111.09866
## 2015.0 143 125.51221
## 2015.5 68 132.49614
## 2016.0 79 92.29484
## 2016.5 79 77.49028
## 2017.0 66 83.08702
## 2017.5 60 65.78259
## 2018.0 71 66.22381
## 2018.5 44 64.04728
## 2019.0 41 54.75101
## 2019.5 39 39.64207
## 2020.0 32 43.74526
## 2020.5 42 30.11350
## 2021.0 8 42.75552
## 2021.5 16 13.46512
## 2022.0 17 19.32704
## 2022.5 30 12.62690
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 12"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 13.12647 51.87357 -25.62062
## 2023.5 13.09365 58.80321 -32.61591
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 70 71.625000
## 2009.5 76 81.108020
## 2010.0 88 61.300437
## 2010.5 72 86.748553
## 2011.0 116 71.442143
## 2011.5 113 99.916441
## 2012.0 135 120.216599
## 2012.5 126 130.625149
## 2013.0 121 144.122192
## 2013.5 124 127.626452
## 2014.0 134 133.508795
## 2014.5 111 132.685204
## 2015.0 141 127.804415
## 2015.5 134 126.732617
## 2016.0 128 147.048255
## 2016.5 118 127.240685
## 2017.0 107 129.355658
## 2017.5 122 105.864289
## 2018.0 123 116.359655
## 2018.5 71 119.262477
## 2019.0 70 90.376073
## 2019.5 53 57.581841
## 2020.0 59 53.084665
## 2020.5 40 37.011382
## 2021.0 13 39.922810
## 2021.5 32 3.844206
## 2022.0 20 12.094547
## 2022.5 29 11.024148
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 13"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 10.88940 62.08869 -40.30990
## 2023.5 -3.63081 54.68082 -61.94244
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 150 144.500000
## 2009.5 138 141.498013
## 2010.0 105 153.916518
## 2010.5 145 121.370846
## 2011.0 197 145.476600
## 2011.5 106 166.184651
## 2012.0 164 149.048290
## 2012.5 127 149.309170
## 2013.0 96 150.143582
## 2013.5 73 112.305997
## 2014.0 74 99.354445
## 2014.5 65 71.683390
## 2015.0 59 72.690440
## 2015.5 91 49.482766
## 2016.0 80 75.558822
## 2016.5 86 63.880135
## 2017.0 60 82.100613
## 2017.5 49 57.524889
## 2018.0 52 59.042259
## 2018.5 38 40.863672
## 2019.0 44 44.546354
## 2019.5 40 29.322844
## 2020.0 35 40.184884
## 2020.5 38 23.032038
## 2021.0 13 36.557758
## 2021.5 15 9.968515
## 2022.0 18 17.569963
## 2022.5 8 2.960735
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 14"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 12 48.52516 -24.52516
## 2023.5 15 66.65438 -36.65438
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 8 5.5
## 2009.5 9 11.0
## 2010.0 12 10.0
## 2010.5 16 15.0
## 2011.0 13 17.0
## 2011.5 60 16.0
## 2012.0 84 61.0
## 2012.5 79 87.0
## 2013.0 103 80.0
## 2013.5 82 106.0
## 2014.0 76 83.0
## 2014.5 85 79.0
## 2015.0 119 86.0
## 2015.5 119 122.0
## 2016.0 125 120.0
## 2016.5 116 128.0
## 2017.0 73 117.0
## 2017.5 59 76.0
## 2018.0 66 60.0
## 2018.5 59 69.0
## 2019.0 38 60.0
## 2019.5 41 41.0
## 2020.0 38 42.0
## 2020.5 20 41.0
## 2021.0 9 21.0
## 2021.5 36 12.0
## 2022.0 24 37.0
## 2022.5 11 27.0
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 15"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 -0.3970145 40.67169 -41.46572
## 2023.5 -7.6052280 36.95514 -52.16560
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 66 64.1250000
## 2009.5 70 75.4144370
## 2010.0 77 63.4885134
## 2010.5 100 78.6008696
## 2011.0 61 80.6720720
## 2011.5 81 85.4541857
## 2012.0 116 72.3018548
## 2012.5 97 103.5011358
## 2013.0 112 97.8615055
## 2013.5 71 114.1080478
## 2014.0 79 95.9135633
## 2014.5 71 90.5391377
## 2015.0 90 80.3404326
## 2015.5 120 82.9636474
## 2016.0 101 98.9800785
## 2016.5 82 105.0908542
## 2017.0 119 95.0873959
## 2017.5 69 106.0002472
## 2018.0 89 95.3284961
## 2018.5 72 85.8276544
## 2019.0 52 84.8027746
## 2019.5 54 61.7321607
## 2020.0 47 57.4904322
## 2020.5 34 43.3166683
## 2021.0 12 36.6553139
## 2021.5 16 15.0674470
## 2022.0 11 8.3429793
## 2022.5 16 -0.8469869
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 16"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 28.63661 84.07127 -26.79805
## 2023.5 17.38923 75.67364 -40.89518
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 139 127.37500
## 2009.5 156 141.65013
## 2010.0 149 164.19770
## 2010.5 176 173.97993
## 2011.0 191 192.38583
## 2011.5 144 204.51370
## 2012.0 202 202.71524
## 2012.5 228 205.01018
## 2013.0 225 220.38702
## 2013.5 242 228.02901
## 2014.0 208 244.95895
## 2014.5 213 242.11828
## 2015.0 180 241.32275
## 2015.5 186 219.84110
## 2016.0 209 202.82687
## 2016.5 171 187.81212
## 2017.0 189 171.83544
## 2017.5 143 158.66261
## 2018.0 120 143.11644
## 2018.5 157 117.10655
## 2019.0 107 113.30518
## 2019.5 96 95.47871
## 2020.0 124 84.34531
## 2020.5 91 80.50480
## 2021.0 14 79.13376
## 2021.5 79 49.40693
## 2022.0 47 45.36605
## 2022.5 49 31.55072
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 17"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 -2.581412 23.82397 -28.98679
## 2023.5 -3.028587 27.65351 -33.71069
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 106.3333 106.333333
## 2009.5 106.3333 106.333333
## 2010.0 106.3333 106.333333
## 2010.5 106.3333 106.333333
## 2011.0 101.0000 106.333333
## 2011.5 107.0000 103.177368
## 2012.0 105.0000 104.972179
## 2012.5 69.0000 105.323381
## 2013.0 59.0000 83.364576
## 2013.5 64.0000 66.099762
## 2014.0 48.0000 62.257325
## 2014.5 81.0000 50.788886
## 2015.0 66.0000 64.817193
## 2015.5 75.0000 65.131541
## 2016.0 57.0000 67.226553
## 2016.5 67.0000 61.654003
## 2017.0 65.0000 60.177255
## 2017.5 42.0000 63.978102
## 2018.0 47.0000 46.755100
## 2018.5 54.0000 45.921843
## 2019.0 17.0000 46.505366
## 2019.5 32.0000 28.775243
## 2020.0 26.0000 23.902285
## 2020.5 22.0000 25.154867
## 2021.0 1.0000 16.690647
## 2021.5 6.0000 7.140760
## 2022.0 10.0000 -1.506221
## 2022.5 4.0000 4.937156
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 18"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 -2.603218 32.49122 -37.69766
## 2023.5 -6.166096 42.65696 -54.98915
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 31 40.750000
## 2009.5 19 14.320125
## 2010.0 37 17.543797
## 2010.5 35 20.306519
## 2011.0 73 35.660605
## 2011.5 120 57.043512
## 2012.0 92 123.581875
## 2012.5 74 85.491096
## 2013.0 80 73.739999
## 2013.5 85 71.750411
## 2014.0 78 85.141273
## 2014.5 85 71.754956
## 2015.0 69 83.752359
## 2015.5 58 65.008791
## 2016.0 69 55.011645
## 2016.5 61 63.613171
## 2017.0 49 59.966213
## 2017.5 60 43.624122
## 2018.0 47 56.963512
## 2018.5 40 44.138986
## 2019.0 29 35.768337
## 2019.5 21 25.808267
## 2020.0 13 16.021995
## 2020.5 21 9.265131
## 2021.0 14 15.232978
## 2021.5 7 11.873328
## 2022.0 9 1.228267
## 2022.5 2 5.967106
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 19"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 14.451680 52.57532 -23.67196
## 2023.5 5.508909 56.04688 -45.02906
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 22 21.625000
## 2009.5 27 19.451337
## 2010.0 40 33.054033
## 2010.5 42 37.308722
## 2011.0 69 49.723776
## 2011.5 61 65.751533
## 2012.0 54 72.097014
## 2012.5 78 56.903015
## 2013.0 82 83.695121
## 2013.5 101 83.043423
## 2014.0 92 108.841357
## 2014.5 57 96.466198
## 2015.0 118 72.392922
## 2015.5 129 109.316362
## 2016.0 133 137.267501
## 2016.5 112 136.639550
## 2017.0 89 127.400749
## 2017.5 85 94.478418
## 2018.0 81 92.783920
## 2018.5 68 78.733685
## 2019.0 59 74.041373
## 2019.5 39 55.138465
## 2020.0 47 43.432888
## 2020.5 40 37.929480
## 2021.0 8 40.943358
## 2021.5 25 4.172581
## 2022.0 23 20.742626
## 2022.5 14 13.518883
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 20"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 3.9403302 56.87038 -48.98972
## 2023.5 0.4403302 73.11381 -72.23315
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 16 20.125000
## 2009.5 22 12.744088
## 2010.0 43 21.452302
## 2010.5 62 38.224964
## 2011.0 48 60.593166
## 2011.5 73 45.245172
## 2012.0 129 71.357671
## 2012.5 150 122.089145
## 2013.0 172 148.348438
## 2013.5 166 167.100472
## 2014.0 148 166.065118
## 2014.5 100 145.568963
## 2015.0 141 102.696440
## 2015.5 120 135.233473
## 2016.0 152 120.901406
## 2016.5 118 146.659811
## 2017.0 80 119.695880
## 2017.5 84 78.848914
## 2018.0 85 83.695196
## 2018.5 65 81.422791
## 2019.0 72 65.971782
## 2019.5 45 68.143294
## 2020.0 60 46.369452
## 2020.5 68 55.693443
## 2021.0 3 67.271787
## 2021.5 15 3.303138
## 2022.0 6 14.307865
## 2022.5 4 2.991599
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 21"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 18.85268 36.33774 1.367617
## 2023.5 21.31126 44.94053 -2.318020
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 6.666667 6.666667
## 2009.5 6.666667 6.666667
## 2010.0 6.666667 6.666667
## 2010.5 6.666667 6.666667
## 2011.0 6.666667 6.666667
## 2011.5 6.666667 6.666667
## 2012.0 6.666667 6.666667
## 2012.5 6.666667 6.666667
## 2013.0 7.000000 6.666667
## 2013.5 6.000000 6.969666
## 2014.0 8.000000 6.104923
## 2014.5 9.000000 7.762336
## 2015.0 7.000000 9.047412
## 2015.5 28.000000 7.088214
## 2016.0 19.000000 26.092619
## 2016.5 31.000000 20.696300
## 2017.0 36.000000 28.656543
## 2017.5 24.000000 37.253152
## 2018.0 21.000000 23.652138
## 2018.5 39.000000 22.132051
## 2019.0 38.000000 36.441551
## 2019.5 43.000000 39.725730
## 2020.0 23.000000 40.912470
## 2020.5 10.000000 26.583501
## 2021.0 4.000000 8.659320
## 2021.5 24.000000 6.443936
## 2022.0 26.000000 20.149258
## 2022.5 21.000000 28.599228
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 22"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 -6.445774 26.74227 -39.63382
## 2023.5 -1.891548 45.19062 -48.97371
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 55 61.250000
## 2009.5 60 58.960865
## 2010.0 50 43.967371
## 2010.5 51 54.005146
## 2011.0 46 34.986328
## 2011.5 83 50.055292
## 2012.0 58 67.261581
## 2012.5 52 62.203588
## 2013.0 45 36.139697
## 2013.5 55 49.195177
## 2014.0 47 39.231525
## 2014.5 63 51.280168
## 2015.0 54 47.353554
## 2015.5 111 58.395172
## 2016.0 109 95.724566
## 2016.5 112 113.807692
## 2017.0 118 96.796373
## 2017.5 78 122.929143
## 2018.0 64 62.647812
## 2018.5 73 68.656279
## 2019.0 46 57.683477
## 2019.5 51 50.610319
## 2020.0 32 35.612759
## 2020.5 27 36.590138
## 2021.0 0 11.530087
## 2021.5 19 4.457890
## 2022.0 13 3.548948
## 2022.5 9 17.608127
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 23"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 1.432645 190.8889 -188.0236
## 2023.5 -8.976859 226.7876 -244.7413
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 447.00000 414.0000000
## 2009.5 385.00000 368.4422478
## 2010.0 457.00000 528.0804293
## 2010.5 363.00000 406.7195146
## 2011.0 94.00000 504.6170434
## 2011.5 186.00000 127.1990428
## 2012.0 297.00000 212.4705997
## 2012.5 88.00000 244.9659487
## 2013.0 125.00000 185.0132029
## 2013.5 142.00000 69.1912506
## 2014.0 150.00000 177.4959813
## 2014.5 208.00000 106.4179527
## 2015.0 315.00000 224.5649674
## 2015.5 259.00000 265.5462088
## 2016.0 227.00000 316.3848967
## 2016.5 195.00000 216.1011721
## 2017.0 168.00000 236.6639196
## 2017.5 154.00000 153.5497028
## 2018.0 135.00000 176.2744928
## 2018.5 121.00000 118.5694189
## 2019.0 58.00000 133.5046948
## 2019.5 21.00000 54.0080344
## 2020.0 6.00000 25.6445649
## 2020.5 17.71429 -14.3318261
## 2021.0 11.00000 3.5129057
## 2021.5 11.00000 -7.7698971
## 2022.0 11.00000 -0.4291837
## 2022.5 11.00000 -5.1453875
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 24"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 12.77605 33.89206 -8.339965
## 2023.5 12.61336 38.04144 -12.814715
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 34.0 27.000000
## 2009.5 26.0 27.696356
## 2010.0 23.0 44.544932
## 2010.5 24.0 25.153383
## 2011.0 23.0 36.361932
## 2011.5 26.0 23.534847
## 2012.0 2.0 33.453884
## 2012.5 10.7 10.057760
## 2013.0 8.8 9.666455
## 2013.5 6.0 9.020423
## 2014.0 12.0 5.884113
## 2014.5 10.0 9.121736
## 2015.0 22.0 10.533356
## 2015.5 25.0 17.212191
## 2016.0 16.0 26.456694
## 2016.5 23.0 19.891201
## 2017.0 24.0 22.522104
## 2017.5 25.0 25.526271
## 2018.0 29.0 25.935553
## 2018.5 25.0 29.758633
## 2019.0 28.0 28.232352
## 2019.5 3.0 28.293652
## 2020.0 8.0 13.233927
## 2020.5 14.0 2.776141
## 2021.0 3.0 12.376529
## 2021.5 18.0 2.665420
## 2022.0 17.0 11.632314
## 2022.5 12.0 16.775394
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "Espacio Académico: 25"
## Time Series:
## Start = c(2023, 1)
## End = c(2023, 2)
## Frequency = 2
## fit upr lwr
## 2023.0 10.63037 61.43790 -40.17716
## 2023.5 25.26605 90.12365 -39.59156
## Time Series:
## Start = c(2009, 1)
## End = c(2022, 2)
## Frequency = 2
## Real Ajustado_modelo
## 2009.0 29 50.000000
## 2009.5 43 39.337822
## 2010.0 30 -19.011387
## 2010.5 22 29.477877
## 2011.0 17 2.457197
## 2011.5 58 16.070138
## 2012.0 97 40.411735
## 2012.5 80 121.426827
## 2013.0 132 124.943108
## 2013.5 118 131.022053
## 2014.0 109 164.043419
## 2014.5 94 109.950756
## 2015.0 110 95.788812
## 2015.5 77 85.092815
## 2016.0 113 89.292677
## 2016.5 55 79.080581
## 2017.0 85 90.303005
## 2017.5 36 36.617770
## 2018.0 29 62.778866
## 2018.5 23 -13.858090
## 2019.0 5 14.300344
## 2019.5 10 -11.676097
## 2020.0 7 -4.245709
## 2020.5 17 4.152799
## 2021.0 7 13.206371
## 2021.5 24 17.996401
## 2022.0 8 16.157841
## 2022.5 24 24.507615
## [1] "------------------------------------"
## [1] "------------------------------------"
## [1] "------------------------------------"
