Ejercicio 1.

Se realizó un estudio sobre factores estructurales relacionados con la permeabilidad de 30 tipos de tejidos. Los datos están disponibles en el archivo airpermeabilitywoven.csv y Clay et al 2007.pdf. Realice una lectura de la publicación para comprender que se efectuó en el trabajo.

La metadata de las variables en el archivo son las siguientes:

warp (warp yarn density, ends/cm) weft (weft " " , picks/cm) mass (mass per unit area, gr/m^2) airPermMn (average air permeability, cm2/s/cm2) airPermSD (Std Dev of air perm measurements) waterCont (Water Content after vacuum drying, %)

Pruebe los siguientes modelos de regresión lineal múltiple.

Model 1: E{airPermMn} = B0 + B1Warp + B2Weft + B3*Mass

Model 2: E{airPermMn} = C0 + C1Water + c2(Water^2)

Entregue los componentes necesarios para justificar cual modelo utilizaría para explicar la permeabilidad de los tejidos.

datos1 = read.csv("C:/Users/GOLLO/Desktop/airpermeabilitywoven.csv", sep = ",", dec = ".")
datos1
##    sampNum warp weft  mass airPermMn airPermSD waterCont
## 1        1   54   20 101.0     45.74      1.80     53.65
## 2        2   54   25 110.3     27.02      2.44     45.65
## 3        3   54   30 119.5     15.68      0.68     40.34
## 4        4   54   35 127.3      8.76      0.39     38.21
## 5        5   54   40 136.7      4.37      0.15     35.66
## 6        6   54   45 144.1      2.90      0.40     32.35
## 7        7   57   20 101.2     47.94      1.83     50.53
## 8        8   57   25 111.1     27.52      0.78     44.91
## 9        9   57   30 120.5     14.84      0.97     40.93
## 10      10   57   35 130.7      8.99      0.48     37.49
## 11      11   57   40 142.0      3.98      0.24     33.62
## 12      12   57   45 146.3      2.68      0.12     32.33
## 13      13   60   20 107.9     33.98      1.16     50.19
## 14      14   60   25 118.7     17.01      0.79     45.68
## 15      15   60   30 129.5      9.75      0.41     39.31
## 16      16   60   35 141.4      4.56      0.41     36.00
## 17      17   60   40 151.2      2.12      0.07     33.80
## 18      18   60   45 153.7      1.70      0.05     32.04
## 19      19   63   20 109.0     27.68      0.55     47.89
## 20      20   63   25 119.1     15.24      0.64     44.52
## 21      21   63   30 129.1      7.23      0.13     40.20
## 22      22   63   35 148.5      3.22      0.42     35.72
## 23      23   63   40 150.3      1.89      0.08     33.40
## 24      24   63   42 154.4      1.61      0.05     32.31
## 25      25   66   20 111.2     27.28      1.68     47.77
## 26      26   66   25 123.0     14.42      1.39     43.59
## 27      27   66   30 134.0      6.90      0.21     37.66
## 28      28   66   35 144.4      3.19      0.17     37.09
## 29      29   66   40 155.0      1.65      0.06     35.69
## 30      30   66   42 160.2      1.38      0.05     29.49
is.data.frame(datos1)
## [1] TRUE
#Modelo 1:
regre1 <- lm(formula = airPermMn ~ warp + weft + mass, data = datos1)
regre1
## 
## Call:
## lm(formula = airPermMn ~ warp + weft + mass, data = datos1)
## 
## Coefficients:
## (Intercept)         warp         weft         mass  
##     105.035       -0.392       -0.680       -0.355
summary(regre1)
## 
## Call:
## lm(formula = airPermMn ~ warp + weft + mass, data = datos1)
## 
## Residuals:
##    Min     1Q Median     3Q    Max 
## -6.888 -4.247 -0.656  2.405 14.770 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  105.035     16.355    6.42  8.4e-07 ***
## warp          -0.392      0.569   -0.69     0.50    
## weft          -0.680      0.728   -0.93     0.36    
## mass          -0.355      0.366   -0.97     0.34    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 5.59 on 26 degrees of freedom
## Multiple R-squared:  0.84,   Adjusted R-squared:  0.822 
## F-statistic: 45.6 on 3 and 26 DF,  p-value: 1.68e-10
## Respuesta:
#Modelo 1: E{airPermMn} = 105.035 + -0.392 + -0.680 + -0.3

#Modelo2:
regre2 <- lm(formula = airPermMn ~ waterCont + (waterCont^2), data = datos1)
regre2 
## 
## Call:
## lm(formula = airPermMn ~ waterCont + (waterCont^2), data = datos1)
## 
## Coefficients:
## (Intercept)    waterCont  
##      -63.04         1.92
## Respuesta:
#Modelo 2: E{airPermMn} = -63.04 + 1.92 + 1.92^2

Ejercicio 2.

A continuación se entrega un breve resumen del experimento explicado en Mimic 2004.pdf

“Experimental Results involving transesterification of rapeseed oil in 3 alcohols (methanol, ethanol, and 1-propanol). Three factors were varied: temperature (250, 300, 350C), pressure (8, 10, 12 MPa), and time (7,15,20,…,60,65 min). Yields of each alcohol type (%) and Energy consumption of each alcohol type (kW h/kg) were reported.”

Archivo disponible en biodiseltransect.csv.

Intente replicar los resultados de la Tabla 4.

datos2 = read.csv("C:/Users/GOLLO/Desktop/biodiesel_transest.csv", sep = ",", dec = ".")
datos2
##     run_id b_temp b_pres b_time meth_pct meth_ec eth_pct eth_ec prop1_pct
## 1        1    350      8      7     73.4   0.743    44.4  1.252      38.3
## 2        2    350      8     15     76.5   0.758    62.1  0.950      54.2
## 3        3    350      8     20     78.8   0.759    66.2  0.919      57.2
## 4        4    350      8     25     80.9   0.766    68.3  0.923      59.9
## 5        5    350      8     30     82.2   0.783    70.1  0.933      61.3
## 6        6    350      8     35     83.1   0.801    70.9  0.953      61.7
## 7        7    350      8     40     84.3   0.815    71.1  0.981      62.1
## 8        8    350      8     45     84.9   0.834    72.2  0.995      62.5
## 9        9    350      8     50     84.1   0.868    72.9  1.015      65.3
## 10      10    350      8     55     83.9   0.898    73.3  1.041      68.8
## 11      11    350      8     60     82.9   0.932    72.1  1.085      70.1
## 12      12    350      8     65     82.6   0.948    70.2  1.144      69.1
## 13      13    350     10      7     76.1   0.730    51.3  1.103      43.2
## 14      14    350     10     15     87.5   0.674    77.3  0.776      70.9
## 15      15    350     10     20     90.5   0.672    81.1  0.762      76.2
## 16      16    350     10     25     89.1   0.707    82.8  0.773      77.3
## 17      17    350     10     30     87.2   0.750    84.6  0.785      80.2
## 18      18    350     10     35     87.0   0.793    83.1  0.825      81.5
## 19      19    350     10     40     86.5   0.836    82.9  0.866      83.3
## 20      20    350     10     45     84.3   0.880    82.0  1.034      80.7
## 21      21    350     12      7     92.2   0.612    63.4  0.906      61.3
## 22      22    350     12     15     93.0   0.643    87.1  0.698      84.3
## 23      23    350     12     20     92.2   0.669    91.9  0.682      87.2
## 24      24    350     12     25     91.5   0.698    90.1  0.720      91.1
## 25      25    350     12     30     89.9   0.737    89.3  0.753      89.3
## 26      26    300      8      7     28.8   1.640    18.0  2.679      17.7
## 27      27    300      8     15     50.6   0.991    33.7  1.517      22.2
## 28      28    300      8     20     53.2   0.976    37.7  1.404      33.6
## 29      29    300      8     25     57.6   0.933    43.3  1.264      41.3
## 30      30    300      8     30     60.7   0.915    51.5  1.098      47.4
## 31      31    300      8     35     61.3   0.936    53.2  1.097      50.3
## 32      32    300      8     40     61.7   0.959    55.1  1.092      52.0
## 33      33    300      8     45     62.3   0.979    57.4  1.080      52.8
## 34      34    300      8     50     62.8   1.000    58.8  1.085      53.1
## 35      35    300      8     55     64.1   1.008    59.1  1.111      55.2
## 36      36    300      8     60     63.2   1.051    60.9  1.107      55.8
## 37      37    300      8     65     63.0   1.094    59.3  1.168      56.4
## 38      38    300      8     70     62.8   1.137    59.0  1.228      57.2
## 39      39    300      8     75     61.0   1.180    58.5  1.289      56.9
## 40      40    300     10      7     36.4   1.324    23.4  2.103      20.1
## 41      41    300     10     15     65.6   0.779    44.4  1.174      45.6
## 42      42    300     10     20     67.7   0.782    52.2  1.033      50.3
## 43      43    300     10     25     71.2   0.769    57.4  0.971      56.4
## 44      44    300     10     30     74.0   0.764    62.0  0.928      60.8
## 45      45    300     10     35     72.2   0.808    64.3  0.923      61.1
## 46      46    300     10     40     72.0   0.852    66.3  0.923      63.2
## 47      47    300     10     45     71.9   0.897    64.1  0.983      64.2
## 48      48    300     10     50     70.8   0.941    63.9  1.043      63.1
## 49      49    300     12      7     40.1   1.223    26.4  1.896      23.1
## 50      50    300     12     15     68.4   0.760    64.4  0.822      52.2
## 51      51    300     12     20     74.3   0.724    72.1  0.760      55.3
## 52      52    300     12     25     82.9   0.671    77.3  0.732      61.8
## 53      53    300     12     30     81.1   0.708    80.6  0.725      68.8
## 54      54    300     12     35     80.9   0.745    78.3  0.769      69.7
## 55      55    300     12     40     80.1   0.782    76.9  0.813      71.1
## 56      56    300     12     45     79.5   0.820    76.6  0.858      68.3
## 57      57    250      8      7     13.8   2.816     9.8  4.068       8.3
## 58      58    250      8     15     26.7   1.545    15.1  2.798      15.4
## 59      59    250      8     20     30.7   1.392    27.7  1.579      19.7
## 60      60    250      8     25     33.2   1.332    29.2  1.549      21.8
## 61      61    250      8     30     35.9   1.273    30.8  1.517      22.2
## 62      62    250      8     35     36.4   1.297    31.6  1.525      24.4
## 63      63    250      8     40     37.6   1.295    31.9  1.558      25.2
## 64      64    250      8     45     38.2   1.314    32.3  1.585      26.4
## 65      65    250      8     50     39.6   1.305    34.2  1.540      27.6
## 66      66    250      8     55     41.2   1.290    35.6  1.521      29.1
## 67      67    250      8     60     44.2   1.236    37.3  1.492      29.8
## 68      68    250      8     65     46.2   1.215    38.7  1.477      30.9
## 69      69    250      8     70     48.3   1.193    39.9  1.469      32.1
## 70      70    250      8     75     49.9   1.185    41.2  1.459      34.4
## 71      71    250      8     80     51.9   1.168    42.1  1.463      35.5
## 72      72    250      8     85     50.9   1.220    43.3  1.457      37.2
## 73      73    250      8     90     50.1   1.272    44.7  1.445      38.9
## 74      74    250      8     95     49.6   1.324    43.9  1.505      40.3
## 75      75    250      8    100     48.6   1.377    43.2  1.565      39.2
## 76      76    250     10      7     14.9   2.675    12.0  3.405      10.8
## 77      77    250     10     15     29.5   1.432    17.2  2.514      17.3
## 78      78    250     10     20     34.0   1.286    33.2  1.347      22.3
## 79      79    250     10     25     35.1   1.288    35.6  1.298      28.7
## 80      80    250     10     30     38.8   1.204    37.1  1.286      32.2
## 81      81    250     10     35     43.2   1.116    39.8  1.236      32.7
## 82      82    250     10     40     46.5   1.069    43.2  1.173      32.9
## 83      83    250     10     45     47.6   1.075    44.3  1.178      33.1
## 84      84    250     10     50     48.7   1.082    46.3  1.159      36.2
## 85      85    250     10     55     53.4   1.014    48.2  1.144      37.5
## 86      86    250     10     60     55.0   1.012    49.7  1.140      38.7
## 87      87    250     10     65     52.9   1.080    50.3  1.156      41.1
## 88      88    250     10     70     52.6   1.148    52.1  1.144      43.2
## 89      89    250     10     75     52.0   1.217    51.7  1.133      44.1
## 90      90    250     10     80     51.6   1.220    51.2  1.240      45.3
## 91      91    250     10     85     51.1   1.272    50.4  1.248      44.2
## 92      92    250     12      7     17.7   2.300    17.8  2.343      11.3
## 93      93    250     12     15     33.8   1.275    19.4  2.273      19.5
## 94      94    250     12     20     37.5   1.189    34.6  1.317      25.3
## 95      95    250     12     25     38.7   1.190    37.5  1.255      31.1
## 96      96    250     12     30     40.3   1.180    41.7  1.164      33.2
## 97      97    250     12     35     44.1   1.112    42.9  1.167      39.7
## 98      98    250     12     40     48.8   1.036    47.3  1.090      43.1
## 99      99    250     12     45     53.6   0.971    49.7  1.067      47.2
## 100    100    250     12     50     56.1   0.954    51.1  1.067      48.3
## 101    101    250     12     55     53.6   1.026    52.3  1.071      49.6
## 102    102    250     12     60     53.2   1.099    53.2  1.081      50.8
## 103    103    250     12     65     52.9   1.171    49.8  1.184      51.5
## 104    104    250     12     70     52.5   1.243    48.9  1.288      52.1
## 105    105    250     12     75     52.0   1.315    47.9  1.392      51.7
##     prop1_ec
## 1      1.477
## 2      1.107
## 3      1.081
## 4      1.069
## 5      1.083
## 6      1.111
## 7      1.139
## 8      1.165
## 9      1.149
## 10     1.124
## 11     1.130
## 12     1.177
## 13     1.332
## 14     0.860
## 15     0.824
## 16     0.841
## 17     0.840
## 18     0.854
## 19     0.861
## 20     0.915
## 21     0.953
## 22     0.733
## 23     0.730
## 24     0.723
## 25     0.764
## 26     2.724
## 27     2.303
## 28     1.576
## 29     1.326
## 30     1.193
## 31     1.161
## 32     1.158
## 33     1.174
## 34     1.202
## 35     1.189
## 36     1.209
## 37     1.228
## 38     1.243
## 39     1.281
## 40     2.448
## 41     1.143
## 42     1.072
## 43     0.988
## 44     0.946
## 45     0.971
## 46     0.968
## 47     0.981
## 48     1.027
## 49     2.167
## 50     1.015
## 51     0.990
## 52     0.916
## 53     0.849
## 54     0.864
## 55     0.872
## 56     0.935
## 57     4.803
## 58     2.743
## 59     2.220
## 60     2.074
## 61     2.104
## 62     1.976
## 63     1.972
## 64     1.939
## 65     1.909
## 66     1.861
## 67     1.868
## 68     1.849
## 69     1.827
## 70     1.748
## 71     1.735
## 72     1.696
## 73     1.660
## 74     1.640
## 75     1.724
## 76     3.783
## 77     2.499
## 78     2.006
## 79     1.610
## 80     1.482
## 81     1.505
## 82     1.541
## 83     1.576
## 84     1.483
## 85     1.471
## 86     1.464
## 87     1.415
## 88     1.380
## 89     1.386
## 90     1.382
## 91     1.450
## 92     3.691
## 93     2.261
## 94     1.801
## 95     1.513
## 96     1.463
## 97     1.261
## 98     1.196
## 99     1.123
## 100    1.129
## 101    1.129
## 102    1.132
## 103    1.145
## 104    1.161
## 105    1.198
as.factor(datos2$eth_pct)
##   [1] 44.4 62.1 66.2 68.3 70.1 70.9 71.1 72.2 72.9 73.3 72.1 70.2 51.3 77.3 81.1
##  [16] 82.8 84.6 83.1 82.9 82   63.4 87.1 91.9 90.1 89.3 18   33.7 37.7 43.3 51.5
##  [31] 53.2 55.1 57.4 58.8 59.1 60.9 59.3 59   58.5 23.4 44.4 52.2 57.4 62   64.3
##  [46] 66.3 64.1 63.9 26.4 64.4 72.1 77.3 80.6 78.3 76.9 76.6 9.8  15.1 27.7 29.2
##  [61] 30.8 31.6 31.9 32.3 34.2 35.6 37.3 38.7 39.9 41.2 42.1 43.3 44.7 43.9 43.2
##  [76] 12   17.2 33.2 35.6 37.1 39.8 43.2 44.3 46.3 48.2 49.7 50.3 52.1 51.7 51.2
##  [91] 50.4 17.8 19.4 34.6 37.5 41.7 42.9 47.3 49.7 51.1 52.3 53.2 49.8 48.9 47.9
## 96 Levels: 9.8 12 15.1 17.2 17.8 18 19.4 23.4 26.4 27.7 29.2 30.8 31.6 ... 91.9
as.factor(datos2$meth_pct)
##   [1] 73.4 76.5 78.8 80.9 82.2 83.1 84.3 84.9 84.1 83.9 82.9 82.6 76.1 87.5 90.5
##  [16] 89.1 87.2 87   86.5 84.3 92.2 93   92.2 91.5 89.9 28.8 50.6 53.2 57.6 60.7
##  [31] 61.3 61.7 62.3 62.8 64.1 63.2 63   62.8 61   36.4 65.6 67.7 71.2 74   72.2
##  [46] 72   71.9 70.8 40.1 68.4 74.3 82.9 81.1 80.9 80.1 79.5 13.8 26.7 30.7 33.2
##  [61] 35.9 36.4 37.6 38.2 39.6 41.2 44.2 46.2 48.3 49.9 51.9 50.9 50.1 49.6 48.6
##  [76] 14.9 29.5 34   35.1 38.8 43.2 46.5 47.6 48.7 53.4 55   52.9 52.6 52   51.6
##  [91] 51.1 17.7 33.8 37.5 38.7 40.3 44.1 48.8 53.6 56.1 53.6 53.2 52.9 52.5 52  
## 95 Levels: 13.8 14.9 17.7 26.7 28.8 29.5 30.7 33.2 33.8 34 35.1 35.9 ... 93
as.factor(datos2$prop1_pct)
##   [1] 38.3 54.2 57.2 59.9 61.3 61.7 62.1 62.5 65.3 68.8 70.1 69.1 43.2 70.9 76.2
##  [16] 77.3 80.2 81.5 83.3 80.7 61.3 84.3 87.2 91.1 89.3 17.7 22.2 33.6 41.3 47.4
##  [31] 50.3 52   52.8 53.1 55.2 55.8 56.4 57.2 56.9 20.1 45.6 50.3 56.4 60.8 61.1
##  [46] 63.2 64.2 63.1 23.1 52.2 55.3 61.8 68.8 69.7 71.1 68.3 8.3  15.4 19.7 21.8
##  [61] 22.2 24.4 25.2 26.4 27.6 29.1 29.8 30.9 32.1 34.4 35.5 37.2 38.9 40.3 39.2
##  [76] 10.8 17.3 22.3 28.7 32.2 32.7 32.9 33.1 36.2 37.5 38.7 41.1 43.2 44.1 45.3
##  [91] 44.2 11.3 19.5 25.3 31.1 33.2 39.7 43.1 47.2 48.3 49.6 50.8 51.5 52.1 51.7
## 98 Levels: 8.3 10.8 11.3 15.4 17.3 17.7 19.5 19.7 20.1 21.8 22.2 22.3 ... 91.1
#Etanol
regre3 <- lm(datos2$eth_pct ~ datos2$b_temp + datos2$b_pres + datos2$b_time, data=datos2)
regre3
## 
## Call:
## lm(formula = datos2$eth_pct ~ datos2$b_temp + datos2$b_pres + 
##     datos2$b_time, data = datos2)
## 
## Coefficients:
##   (Intercept)  datos2$b_temp  datos2$b_pres  datos2$b_time  
##      -143.444          0.455          4.908          0.429
#Metanol
regre4 <- lm(datos2$meth_pct ~ datos2$b_temp + datos2$b_pres + datos2$b_time, data=datos2)
regre4
## 
## Call:
## lm(formula = datos2$meth_pct ~ datos2$b_temp + datos2$b_pres + 
##     datos2$b_time, data = datos2)
## 
## Coefficients:
##   (Intercept)  datos2$b_temp  datos2$b_pres  datos2$b_time  
##      -132.661          0.498          3.579          0.342
#Propanol
regre5 <- lm(datos2$prop1_pct ~ datos2$b_temp + datos2$b_pres + datos2$b_time, data=datos2)
regre5
## 
## Call:
## lm(formula = datos2$prop1_pct ~ datos2$b_temp + datos2$b_pres + 
##     datos2$b_time, data = datos2)
## 
## Coefficients:
##   (Intercept)  datos2$b_temp  datos2$b_pres  datos2$b_time  
##      -155.924          0.468          5.194          0.450

Ejercicio 3.

La publicación relacionada a este ejercicio está disponible en el archivo Liu 2012. Se realizó un experimento en el cual se valoraron 35 variedades de cervezas. El cambio químico (Chemical Shift, no incluído en la publicación) corresponde a una variable de respuesta. Se valoraron 30 variables predictoras.

Elabore un análisis de correlación y considere los parámetros estadísticos necesarios para la reducción en la cantidad de variables.

Las varibles son las siguientes:

EA (Ethyl Acetate) propnol (propanol) isoBut (Iso-butanol) isoAmlAce (Iso-amyl acetate) isoAmlAlc (Isoamyl alcohol) AD (Alcohol Degree, vol %) OA (Oxalic acid) TA (Tartaric Acid) PA (Pyruvic Acid) MA (Malic Acid) KA (Ketoglutaric Acid) LA (Lactic Acid) AA (Acetic Acid) CA (Citric Acid) SA (Succinic Acid) Kp (K^+) Nap (Na^+) Mg2p (Mg^{2+}) Ca2p (CA^{2+}) Clm (Cl^-) SO42m (SO_4^{2-}) GA (Gallic acid) catechin VA (Vanillic acid) Caffeic (Caffeic acid) Syringic (Syringic acid) PCA (P-coumarilic acid) FA (Ferulic acid)

datos3 = read.csv("C:/Users/GOLLO/Desktop/hydrogen_beer.csv", sep = ",", dec = ".")
datos3
##    beerNum    EA propnol isoBut isoAmlAce isoAmlAlc   AD   OA     TA    PA
## 1        1 14.33    8.22  11.06      2.32     69.91 4.22 0.66 121.60 12.69
## 2        2  8.87   10.26  18.02      1.13     80.42 3.43 0.35  37.11 16.81
## 3        3 10.30    8.40  10.23      1.09     57.44 3.57 0.87  76.33 14.19
## 4        4  9.35    5.71   5.67      1.67     37.83 3.43 0.71 113.78 12.44
## 5        5  9.86    9.93   7.01      1.76     52.22 4.00 0.67 133.04  9.51
## 6        6  9.90    8.28  10.16      1.41     61.99 3.85 0.31 126.45 16.43
## 7        7 11.18    8.00  10.59      2.31     51.80 3.43 0.45  94.07  6.78
## 8        8 12.14    6.62   8.91      2.20     51.80 3.78 0.43 124.52  5.47
## 9        9 15.59    9.67  11.89      3.41     63.23 3.85 1.09 127.55  8.47
## 10      10 16.37    9.88  15.51      3.82     71.96 4.29 0.66 101.32  8.16
## 11      11 11.87    6.84   7.12      1.80     47.77 3.86 0.96 126.99  9.44
## 12      12 18.33   10.02  13.08      3.95     82.97 4.94 0.65 137.19 14.85
## 13      13 11.19   10.91   7.87      2.30     59.57 3.92 0.69 140.07  9.82
## 14      14 11.56   11.08   7.91      2.16     61.20 3.92 0.73 130.05  9.16
## 15      15 12.73   11.93   8.30      2.54     66.50 3.92 0.78 147.14  8.95
## 16      16 11.06   11.43  11.61      1.69     58.43 3.71 0.25 110.72 11.79
## 17      17 17.51    7.94  15.16      3.89     84.74 3.00 0.29 106.39  6.31
## 18      18 15.19    8.81   8.38      2.09     55.46 4.07 0.76 110.61 11.77
## 19      19  7.06   13.34  20.66      1.26    111.44 4.36 0.17  65.25 19.64
## 20      20  9.10    8.21  13.64      1.08     69.40 3.85 0.13  82.99 13.87
## 21      21 14.60    9.77  15.33      2.68     80.76 4.58 0.36 116.66 15.13
## 22      22  5.96   13.39  19.26      0.90    108.43 4.14 0.84  61.14 21.77
## 23      23 13.28    6.86   9.16      1.70     64.21 3.85 0.56 123.28  9.79
## 24      24 18.25    7.48  15.17      3.97     81.49 4.36 0.52 118.97 16.12
## 25      25 13.89   10.55  10.37      2.32     74.54 4.00 0.96 156.97  8.90
## 26      26 13.56   13.20  14.32      2.06     71.45 4.36 0.25 125.87 11.07
## 27      27 22.86   15.53  21.12      5.99    124.48 4.94 1.09 189.40 13.95
## 28      28 11.82    7.80  10.17      2.08     66.14 3.15 0.32  81.24  9.80
## 29      29 12.93   20.54  17.25      1.78    100.80 5.16 0.58 195.84 19.11
## 30      30 10.77    8.87  11.03      1.61     73.08 2.93 0.65  54.51  8.85
## 31      31  5.43    7.39   9.45      0.64     57.86 3.29 0.13  88.47 11.16
## 32      32 10.00    9.44  13.90      1.73     66.44 3.85 0.29 108.95 14.16
## 33      33  6.78    6.62   6.06      0.71     41.35 2.51 0.33 103.14 10.57
## 34      34  6.89    7.15   5.05      0.55     37.88 2.72 0.33  93.49  9.06
## 35      35  6.99    6.23   5.54      0.68     35.84 2.65 0.92 134.27  8.86
##       MA   KA     LA    AA     CA     SA     Kp    Nap  Mg2p  Ca2p    Clm
## 1  14.06 2.43 108.28 64.90 131.85 235.39  69.65  78.25 63.25 38.20  89.49
## 2   4.72 1.87  60.82 26.59  99.37 160.67  69.90  51.60 48.00 69.15 113.18
## 3   6.33 1.94  87.46 25.53  83.62 155.60  96.25  34.45 28.90 32.45 110.32
## 4  10.30 1.37 115.01 14.83 146.99 291.72 127.25  50.75 53.00 30.15 108.96
## 5  17.12 3.81  72.56 55.68 105.49 189.29  94.60  45.75 57.75 41.30  61.25
## 6  14.94 2.58 150.56 93.02 145.65 274.02 185.00  72.50 59.75 22.35 100.20
## 7   8.07 1.95  45.70 24.82 153.95  92.45 129.75  74.50 49.25 47.10 120.65
## 8  14.01 1.38  67.08 15.84 119.64 230.27 165.75  34.25 47.25 25.38  56.38
## 9  11.89 2.86  51.95 29.01 121.14  94.98 132.75  80.25 53.50 36.80  89.16
## 10 11.94 2.31  50.23 26.63 101.47  74.54 167.60  72.95 50.50 30.25  86.89
## 11 11.70 1.62  97.07 17.72 166.51 187.46 167.00  39.25 52.00 27.30  58.98
## 12 14.04 3.76  82.95 17.88  78.05 145.30  89.70  72.00 59.00 53.20 118.38
## 13 19.13 3.92  58.37 21.03  74.73 265.48  47.45 141.70 38.55 40.95  50.21
## 14 18.19 3.19  69.81 13.40  79.40 187.72  54.40  58.35 42.15 48.75  56.05
## 15 18.67 3.78  66.31 19.27  70.84 293.66  69.60  82.50 48.95 24.50  53.13
## 16 10.90 3.02  60.87 19.32 109.67 254.79  99.60  82.50 58.95 24.50  85.27
## 17 11.13 2.71  45.75 15.43  70.74  71.01  70.70  47.75 52.00 36.70  83.71
## 18 12.40 1.90  73.83 19.50  95.30 186.25  67.25  50.75 53.03 30.15 108.96
## 19  6.78 4.43 126.38 15.98  66.75 233.11 104.00  36.25 54.05 28.05 104.82
## 20  8.90 1.90  51.85 43.60  54.90 208.21  41.60  38.50 45.25 57.30  99.87
## 21  8.22 1.85  79.33 11.48  74.89 205.41 116.40  74.00 61.75 30.45 112.86
## 22  7.27 4.55  72.15 16.52  68.98 238.88 148.80  50.75 54.25 59.40  93.26
## 23 16.28 2.77 100.35 17.05 101.94 267.64  41.20  48.90 44.80 49.65  86.89
## 24 12.44 2.93  46.78 23.91  42.36  81.46  65.60  40.50 36.90 46.80  93.01
## 25 18.11 3.92  68.68 77.69  74.06 172.96 148.75  69.20 58.25 22.75  59.30
## 26 14.32 2.10  78.76 52.72 143.53 217.35  76.90  61.00 51.75 38.90 109.61
## 27 16.05 4.18  85.87 15.34 259.02 136.37  62.00  66.75 72.95 58.90 115.59
## 28 11.41 2.38  90.01 17.49  36.24 231.74  59.30  47.25 38.75 34.04  83.78
## 29  7.95 5.98 207.04 47.47  53.71 190.55 102.50  25.90 46.65 29.45 165.77
## 30  2.81 1.41  39.79 16.02  50.06 138.18  65.40  69.80 42.40 38.40  85.27
## 31  2.84 1.61  45.15 16.42  29.37 101.51  69.70  33.60 58.70 48.80 104.49
## 32  4.80 2.45 103.75 17.45  38.21 261.46  66.50  30.75 33.70 36.65  84.31
## 33  6.73 3.70  47.34 17.17  71.77 147.56  62.00  66.75 52.95 58.90  75.87
## 34  8.99 2.63  51.58 16.72  85.55 247.17  59.30  47.25 38.75 34.02  81.71
## 35  6.63 3.94  65.05 17.46 162.57 234.78  66.50  30.75 33.70 36.65  81.38
##     SO42m   GA catechin   VA Caffeic Syringic  PCA   FA    OG   RG
## 1  266.55 5.59     0.39 0.46    0.22     0.38 0.65 2.23 10.00 3.43
## 2  162.16 3.96     0.36 0.34    0.16     0.42 0.54 1.94  8.18 2.80
## 3  189.50 4.12     0.38 0.39    0.20     0.45 0.62 2.05  8.12 2.50
## 4   56.52 4.21     0.32 0.35    0.21     0.43 0.59 2.13  8.06 2.67
## 5  172.10 6.25     0.76 0.51    0.08     0.19 0.65 1.79  9.49 3.25
## 6  266.55 6.10     0.59 0.46    0.23     0.22 0.46 1.58  9.17 3.14
## 7  153.46 3.48     0.40 0.39    0.20     0.28 0.42 1.45  8.05 2.66
## 8  153.46 4.21     0.46 0.31    0.12     0.21 0.46 1.23  8.54 2.61
## 9   83.86 3.96     0.45 0.38    0.15     0.32 0.41 1.25  9.19 3.17
## 10  90.08 3.87     0.43 0.42    0.17     0.29 0.38 1.34  9.48 2.78
## 11 163.40 4.14     0.35 0.37    0.25     0.41 0.52 1.95  8.48 2.86
## 12 158.43 4.37     0.13 0.39    0.23     0.39 0.56 1.54 11.40 3.52
## 13 168.37 6.09     0.48 0.49    0.41     0.49 0.77 1.83  9.57 3.32
## 14 163.40 5.57     0.46 0.51    0.23     0.14 0.58 1.59  9.53 3.40
## 15 159.67 5.89     0.50 0.56    0.37     0.28 0.63 1.64  9.43 3.30
## 16 100.02 3.86     0.47 0.42    0.21     0.28 0.40 1.49  8.44 2.61
## 17 106.23 4.02     0.58 0.49    0.24     0.31 0.58 1.53  7.77 3.03
## 18  56.52 4.53     0.40 0.38    0.22     0.45 0.60 2.10  9.88 2.84
## 19 114.93 3.03     0.22 0.14    0.09     0.24 0.32 1.21  9.72 3.13
## 20 180.80 4.03     0.37 0.35    0.18     0.44 0.57 1.99  8.12 2.07
## 21 169.62 4.75     0.47 0.38    0.13     0.14 0.51 1.37 10.49 3.37
## 22 113.69 3.14     0.25 0.19    0.10     0.28 0.37 1.24  9.56 3.08
## 23 229.27 5.87     0.66 0.50    0.18     0.14 0.63 1.55  9.05 3.02
## 24  81.38 3.96     0.57 0.46    0.21     0.22 0.54 1.49  9.59 2.78
## 25 169.62 5.17     0.30 0.48    0.18     0.23 0.52 1.59  9.29 3.03
## 26  95.05 4.02     0.35 0.32    0.17     0.39 0.58 1.95  9.71 2.90
## 27 143.52 3.45     0.29 0.28    0.13     0.36 0.47 1.35 11.12 3.45
## 28 209.38 4.30     0.36 0.42    0.20     0.21 0.52 1.54  7.51 2.55
## 29 152.22 5.18     0.29 0.33    0.24     0.06 0.49 1.48 11.24 3.11
## 30 201.93 3.82     0.35 0.32    0.15     0.40 0.50 1.89  7.16 2.52
## 31 198.20 3.74     0.38 0.34    0.17     0.43 0.54 1.94  8.26 3.09
## 32 154.70 4.09     0.20 0.36    0.18     0.29 0.51 1.52  9.08 3.06
## 33 150.97 3.06     0.25 0.26    0.10     0.32 0.43 1.30  5.88 1.90
## 34 131.09 3.34     0.28 0.28    0.12     0.35 0.45 1.33  6.27 1.95
## 35 104.99 2.96     0.26 0.24    0.11     0.28 0.40 1.31  6.27 2.05
componentes_p <- prcomp(datos3, scale. = T)
names(componentes_p)
## [1] "sdev"     "rotation" "center"   "scale"    "x"
componentes_p$center
##   beerNum        EA   propnol    isoBut isoAmlAce isoAmlAlc        AD        OA 
##   18.0000   11.9286    9.6086   11.5989    2.0937   68.0237    3.8254    0.5640 
##        TA        PA        MA        KA        LA        AA        CA        SA 
##  113.2963   11.8529   11.1449    2.8323   77.8420   27.4540   96.2377  191.5697 
##        Kp       Nap      Mg2p      Ca2p       Clm     SO42m        GA  catechin 
##   93.1614   57.3700   49.7523   39.0940   91.1131  150.6183    4.3466    0.3931 
##        VA   Caffeic  Syringic       PCA        FA        OG        RG 
##    0.3791    0.1869    0.3063    0.5191    1.6203    8.8886    2.8843
componentes_p$scale
##   beerNum        EA   propnol    isoBut isoAmlAce isoAmlAlc        AD        OA 
##  10.24695   3.90419   2.98077   4.34077   1.16264  20.50790   0.62836   0.27607 
##        TA        PA        MA        KA        LA        AA        CA        SA 
##  33.61683   3.89011   4.58526   1.08932  34.03843  19.51072  46.96325  64.79031 
##        Kp       Nap      Mg2p      Ca2p       Clm     SO42m        GA  catechin 
##  40.41614  22.48578   9.56239  12.13839  24.13179  51.26917   0.94648   0.13363 
##        VA   Caffeic  Syringic       PCA        FA        OG        RG 
##   0.09500   0.06957   0.10647   0.09626   0.29569   1.31780   0.43122
componentes_p$rotation
##                 PC1      PC2       PC3       PC4      PC5        PC6      PC7
## beerNum    0.111800 -0.15880  0.023382 -0.080744  0.41767 -0.1059004  0.01032
## EA        -0.257622  0.01323 -0.314405  0.064157  0.03705  0.0469272  0.23849
## propnol   -0.232550 -0.21772  0.111858  0.012029  0.13779 -0.1202063 -0.04533
## isoBut    -0.150489 -0.31415 -0.041321  0.178156 -0.01484  0.1867439 -0.02028
## isoAmlAce -0.247982 -0.02023 -0.374220  0.044106  0.05436  0.0625909  0.12373
## isoAmlAlc -0.211866 -0.27827 -0.012995  0.152491  0.08449  0.1146941 -0.09946
## AD        -0.320451 -0.12927  0.040141  0.062049 -0.05235 -0.0159458  0.11451
## OA        -0.134196  0.05596 -0.204985 -0.130462 -0.04632 -0.3546035 -0.01756
## TA        -0.255021  0.05986 -0.037673 -0.237711  0.13464 -0.2425633  0.10453
## PA        -0.088846 -0.27130  0.274590  0.169655 -0.07354 -0.0393653 -0.05586
## MA        -0.247755  0.22582 -0.071153 -0.139874  0.09379 -0.0569992 -0.13697
## KA        -0.167292 -0.15621  0.106920 -0.176124  0.32599 -0.1710756 -0.22353
## LA        -0.166857 -0.10409  0.377722 -0.120424 -0.12264 -0.1381698  0.21868
## AA        -0.135091  0.07933  0.228854 -0.093055 -0.24388  0.1125211 -0.14933
## CA        -0.091722  0.01005 -0.213413 -0.166609 -0.33157 -0.2711761 -0.16111
## SA        -0.003212  0.08768  0.360680 -0.141353  0.01885 -0.2805909 -0.14559
## Kp        -0.065577 -0.04263 -0.023416 -0.330580 -0.43310  0.1184700  0.05496
## Nap       -0.131150  0.16358 -0.136983  0.061143  0.02889 -0.1027922 -0.40488
## Mg2p      -0.183688 -0.07437 -0.105974 -0.028042 -0.28341  0.0713745 -0.35393
## Ca2p       0.048108 -0.11165 -0.113380  0.341327  0.12411  0.0375728 -0.39458
## Clm       -0.057759 -0.26100  0.095623  0.187181 -0.17029 -0.0237018  0.27360
## SO42m     -0.037220  0.12557  0.276073  0.084017 -0.03897  0.2073609 -0.30422
## GA        -0.219801  0.27108  0.232926 -0.001178  0.05276  0.0931644 -0.03595
## catechin  -0.089167  0.24421 -0.008720 -0.047306  0.01862  0.4126910  0.02529
## VA        -0.159763  0.32351 -0.003959  0.050329  0.11025  0.2137446  0.10798
## Caffeic   -0.142019  0.22741  0.060185  0.164877  0.12287 -0.1998594  0.17073
## Syringic   0.113228  0.07090 -0.143392  0.365843 -0.22352 -0.3586570 -0.08670
## PCA       -0.101625  0.28668  0.101278  0.318105  0.10536 -0.1095152  0.07604
## FA         0.006892  0.19628  0.139789  0.382527 -0.24350 -0.1762767  0.13097
## OG        -0.339360 -0.08668  0.032890  0.094336 -0.03194  0.0001798  0.07261
## RG        -0.312917  0.01105  0.019479  0.100072 -0.01313  0.0792094 -0.09000
##                  PC8       PC9      PC10       PC11      PC12       PC13
## beerNum   -0.2352239  0.344374 -0.055060 -0.1486866  0.279317 -0.0503773
## EA        -0.1479420  0.127289 -0.058642 -0.1180526 -0.076153 -0.2094586
## propnol    0.0914652  0.074273  0.145160  0.2150400  0.006274  0.0005329
## isoBut     0.1161031  0.010032 -0.018006  0.0181038 -0.079940 -0.3384094
## isoAmlAce -0.0483660  0.089068 -0.076826 -0.1263826 -0.108691 -0.1461975
## isoAmlAlc  0.0710849 -0.016804  0.009513 -0.1220678  0.023583 -0.2951564
## AD         0.0486897 -0.069796 -0.094703  0.0018138  0.155672 -0.0184852
## OA        -0.0448635 -0.458007  0.402664 -0.2375834  0.067170 -0.0081947
## TA        -0.2989276  0.152353  0.004188  0.0305481  0.028666  0.1752155
## PA         0.1017329 -0.178173  0.007344  0.0954587 -0.038898 -0.0662303
## MA        -0.0190774 -0.060392 -0.127836  0.1442311  0.085565 -0.2472622
## KA        -0.0002206 -0.082716  0.290884  0.2152190 -0.036557  0.0956520
## LA        -0.1242036 -0.007593 -0.057735 -0.1148486 -0.227947  0.0485379
## AA        -0.2374141  0.288034  0.426789  0.2324572  0.162799 -0.3693687
## CA        -0.3138704 -0.082440 -0.227166  0.0851035 -0.346629 -0.1462388
## SA         0.1475419 -0.066516 -0.511972 -0.0077738 -0.059223 -0.2626285
## Kp         0.2879028 -0.029102  0.205675 -0.1090018  0.048855  0.0606804
## Nap        0.3604067  0.343218  0.059431  0.0754851 -0.276953  0.1091678
## Mg2p      -0.1168172  0.266904 -0.243208  0.0556952  0.309223  0.3596538
## Ca2p      -0.2807702 -0.306851  0.046846  0.1040601 -0.181199  0.1464182
## Clm       -0.2222977  0.177467  0.044668  0.1846028 -0.342660  0.3104620
## SO42m     -0.2559544  0.106611  0.111654 -0.6248708 -0.237220 -0.0521461
## GA        -0.0340112 -0.074242  0.019285  0.0008333  0.014500  0.0789549
## catechin  -0.0753222 -0.200009 -0.110617  0.3870947 -0.104238 -0.0207736
## VA         0.0028377  0.023062  0.118585  0.0417245 -0.064362  0.0398774
## Caffeic    0.3113438  0.221518  0.111704 -0.0335997 -0.313694  0.0545836
## Syringic   0.1033100  0.140965  0.069731  0.0211049  0.132554 -0.1345170
## PCA       -0.1301657 -0.113150 -0.051583  0.0367373  0.123754  0.0027378
## FA        -0.1377315  0.008127  0.059395  0.0710053  0.256512 -0.0447513
## OG         0.0780948 -0.079058 -0.102789 -0.0411572  0.182557  0.1065932
## RG         0.1427189 -0.126619 -0.111356 -0.2471265  0.169288  0.2957157
##               PC14      PC15      PC16      PC17     PC18      PC19      PC20
## beerNum   -0.08663  0.287619  0.106497  0.449557 -0.06428 -0.154608 -0.136370
## EA         0.10353  0.133549  0.138472 -0.178245 -0.09023  0.104165 -0.048428
## propnol   -0.40304 -0.047497 -0.477217 -0.005623 -0.22668  0.098574 -0.004427
## isoBut    -0.15465 -0.075673 -0.032411  0.075711 -0.01859 -0.124954 -0.063231
## isoAmlAce  0.08008 -0.053763  0.159185 -0.106932  0.08484 -0.042318 -0.080330
## isoAmlAlc -0.25529 -0.091503  0.131882  0.001959 -0.06668  0.102559 -0.202989
## AD         0.29067  0.130521 -0.292894  0.145313  0.03971  0.262198  0.264986
## OA        -0.19728  0.364732  0.157048 -0.011968 -0.19717  0.024521  0.002547
## TA         0.09841 -0.120573 -0.037621  0.248318  0.16123  0.064137  0.010798
## PA         0.23400  0.198907  0.477789  0.204298  0.04022  0.033618  0.212455
## MA         0.24131 -0.166269 -0.052224 -0.084725 -0.13114  0.109851 -0.116364
## KA        -0.02580 -0.233558  0.242227 -0.216602  0.21926  0.145009  0.109794
## LA        -0.05590 -0.146818  0.153172 -0.149132  0.09534 -0.020347 -0.287636
## AA         0.17694  0.039243  0.003664 -0.039160  0.07579 -0.331095  0.016237
## CA        -0.20821 -0.058969 -0.117355  0.189326  0.06723 -0.207369  0.186585
## SA         0.03877  0.152573  0.065153 -0.043794 -0.21026 -0.081952 -0.045474
## Kp         0.13666 -0.079312 -0.026147  0.373175 -0.10188  0.088313 -0.420553
## Nap        0.04111  0.469891 -0.061755 -0.094378  0.09887 -0.019564 -0.148499
## Mg2p      -0.14274 -0.123998  0.327258 -0.081405 -0.27746  0.226483  0.009447
## Ca2p       0.34188 -0.142236 -0.102662  0.230440 -0.24447 -0.126694 -0.240049
## Clm        0.03369  0.274587 -0.001460 -0.122516 -0.07231 -0.020498 -0.105421
## SO42m     -0.05305 -0.005649 -0.119715  0.049253  0.07857  0.308537  0.188775
## GA        -0.01243  0.132064 -0.050637 -0.041421 -0.01485  0.005027 -0.181055
## catechin  -0.35602  0.197633  0.151933  0.345461  0.25855  0.209213  0.012692
## VA         0.02021 -0.024817  0.150371 -0.025662 -0.36747 -0.209848  0.267562
## Caffeic   -0.01699 -0.332801  0.151911  0.382529 -0.19397 -0.003840  0.114414
## Syringic  -0.01721 -0.111872  0.072840  0.104049  0.37326  0.136279  0.028991
## PCA       -0.01169 -0.009168 -0.018457 -0.032700  0.19469  0.103781 -0.457834
## FA        -0.21440  0.001960 -0.003796 -0.012833 -0.24298  0.009524  0.061601
## OG         0.18585  0.131279 -0.203513  0.056470  0.10333 -0.004055  0.175426
## RG        -0.16638 -0.090264  0.006278 -0.003035  0.26923 -0.609692  0.020179
##                PC21       PC22      PC23     PC24      PC25      PC26      PC27
## beerNum    0.219150  0.0694027  0.032203  0.05884  0.260760 -0.011380 -0.017993
## EA        -0.040051  0.0736038  0.099743 -0.02738 -0.019531 -0.544532 -0.411188
## propnol   -0.122104  0.0616793  0.294812  0.39443 -0.105311 -0.038485 -0.144142
## isoBut    -0.242941 -0.0804054 -0.104523 -0.26998  0.130362 -0.197642  0.370496
## isoAmlAce -0.176963  0.0621301  0.171085  0.17376  0.034283  0.660676 -0.171816
## isoAmlAlc  0.139787 -0.1207621 -0.173248 -0.08106 -0.129420  0.164440  0.092804
## AD         0.015805  0.0771795 -0.105420 -0.18400  0.226144  0.099226  0.094371
## OA         0.045513 -0.1134660  0.061328 -0.15414 -0.115437  0.025194  0.135648
## TA        -0.433091 -0.0656582 -0.048902 -0.06836 -0.288662  0.061235  0.271445
## PA        -0.114332  0.2005522 -0.020865  0.46244 -0.217198 -0.083530  0.029471
## MA         0.571422  0.0101499 -0.024686  0.24683 -0.089808  0.018491  0.293568
## KA         0.024546 -0.1049587 -0.174201 -0.08396  0.413868  0.004545 -0.275340
## LA         0.098487  0.4608049  0.258729 -0.14586  0.188706 -0.028673  0.203417
## AA        -0.003854 -0.0816820  0.021194 -0.12634 -0.173621  0.040403 -0.128518
## CA         0.064267  0.0698320 -0.212638  0.14759  0.163633 -0.127147 -0.048529
## SA        -0.201206 -0.3536302  0.111050 -0.12931  0.058952  0.132107 -0.210168
## Kp        -0.063438 -0.0984869 -0.058705  0.16768  0.263469  0.003966 -0.173762
## Nap       -0.061793  0.2754796 -0.156785 -0.04903  0.059401  0.031928  0.115052
## Mg2p      -0.043139 -0.0422304  0.034359 -0.08522 -0.060742 -0.080458  0.045683
## Ca2p      -0.049419  0.0862959  0.191041 -0.16172  0.038560  0.027798 -0.115965
## Clm        0.273119 -0.4618915 -0.049911  0.05204  0.009648  0.123069  0.064417
## SO42m      0.028030 -0.1003420 -0.020231  0.12649  0.024177  0.031996 -0.040811
## GA        -0.037479  0.0215961  0.297549 -0.12350 -0.059523 -0.078288  0.002368
## catechin   0.096730 -0.0007225  0.136848 -0.12634 -0.001309  0.084089 -0.092040
## VA        -0.180243 -0.1402766  0.107674  0.22103  0.461701 -0.044940  0.305426
## Caffeic    0.177637 -0.0447439 -0.085278 -0.21189 -0.228592 -0.036006 -0.155173
## Syringic   0.056828 -0.2183925  0.502624  0.03821  0.193154 -0.068384  0.135874
## PCA       -0.198893 -0.1721231 -0.381989  0.25327  0.052115 -0.160347  0.003790
## FA        -0.008825  0.3363171 -0.252885 -0.08868  0.138652  0.260165 -0.160870
## OG         0.131518 -0.0599857  0.032417 -0.14410  0.061041 -0.033863 -0.155954
## RG         0.136658 -0.0567369 -0.003767  0.09413 -0.067440 -0.038067 -0.082785
##                PC28       PC29      PC30       PC31
## beerNum   -0.061182 -0.0901302 -0.032874 -0.0279160
## EA         0.150009  0.1823454  0.090691 -0.1280397
## propnol    0.113796 -0.0883968  0.002011  0.0152795
## isoBut     0.003568 -0.1691031 -0.379085 -0.3213230
## isoAmlAce -0.095266 -0.2442690 -0.119450 -0.0472821
## isoAmlAlc -0.170560  0.4107079  0.361176  0.3429674
## AD         0.050737 -0.2480012  0.512514 -0.1464746
## OA         0.102997 -0.1821321 -0.039123  0.0173172
## TA         0.109266  0.3789118 -0.045191 -0.0757736
## PA        -0.081886  0.0165470 -0.043135 -0.0584752
## MA         0.120598  0.0667268 -0.184673 -0.2193959
## KA        -0.053704  0.0586501 -0.064071 -0.1512398
## LA         0.189552 -0.0867880  0.021420  0.2031402
## AA         0.087827 -0.1652226  0.088625  0.1313474
## CA        -0.293394 -0.0470778  0.062824  0.1035815
## SA         0.180436  0.0538584  0.015214 -0.0422281
## Kp         0.012443  0.1451893 -0.042151 -0.0869520
## Nap        0.085927  0.1067051  0.004523  0.0444914
## Mg2p      -0.005514 -0.2462196 -0.009643  0.0547609
## Ca2p       0.119955  0.0567301  0.044600  0.0320012
## Clm        0.013014  0.0543574 -0.018183 -0.1577005
## SO42m      0.117589  0.0003933 -0.123502 -0.0864615
## GA        -0.745693  0.0365304  0.045418 -0.2607927
## catechin   0.246151  0.0115768 -0.020246  0.0005374
## VA         0.036996  0.1284404  0.101191  0.2270463
## Caffeic   -0.038734 -0.2348697  0.004107  0.0301108
## Syringic   0.008435  0.1158046  0.058168 -0.0108112
## PCA        0.023493 -0.3331339  0.022969  0.1960167
## FA         0.048077  0.3075085 -0.157476 -0.2531713
## OG        -0.104344  0.1109310 -0.545673  0.5109236
## RG         0.204441  0.0620920  0.157492 -0.2376392
componentes_p$rotation[1:5,1:4]
##               PC1      PC2      PC3      PC4
## beerNum    0.1118 -0.15880  0.02338 -0.08074
## EA        -0.2576  0.01323 -0.31440  0.06416
## propnol   -0.2326 -0.21772  0.11186  0.01203
## isoBut    -0.1505 -0.31415 -0.04132  0.17816
## isoAmlAce -0.2480 -0.02023 -0.37422  0.04411
sd <- componentes_p$sdev
pv <- sd^2
pv[1:10]
##  [1] 7.1805 5.7986 3.1313 2.6411 2.2322 1.7801 1.3369 1.2260 0.9071 0.8425
propv <- pv/sum(pv)
propv[1:20]
##  [1] 0.231630 0.187051 0.101009 0.085197 0.072005 0.057423 0.043124 0.039549
##  [9] 0.029261 0.027176 0.022433 0.020261 0.017351 0.013543 0.010056 0.009658
## [17] 0.007273 0.005603 0.005085 0.003818
#EA
EA1 <- datos3$EA
#propnol
propnol1 <- datos3$propnol
#isoBut
isoBut1 <- datos3$isoBut
#isoAmlAce
isoAm1 <- datos3$isoAmlAce

regre6 <- lm(formula= datos3$Syringic ~ EA1 + propnol1 + isoBut1 + isoAm1 , data=datos3)
regre6
## 
## Call:
## lm(formula = datos3$Syringic ~ EA1 + propnol1 + isoBut1 + isoAm1, 
##     data = datos3)
## 
## Coefficients:
## (Intercept)          EA1     propnol1      isoBut1       isoAm1  
##     0.42000     -0.00352     -0.01157      0.00175      0.00912