analisis komponen utama digunakan U

analisis komponen utama digunakan Untuk mengurangi jumlah parameter dalam model kami dan menghindari masalah multikolinearitas sementara menjaga sebanyak variabilitas dalam prediksi kami mungkin, serta menentukan hubungan antara masing-masing variabel dari data akar dan karakteristik tanah

Results (English) 1:

principal component analysis was used to reduce the number of parameters in our model and avoid the problem of multicollinearity while keeping as much of the variability in our predictions possible, as well as to determine the relationship between each variable of the root and the soil characteristics data

Results (English) 2:

principal component analysis is used to reduce the number of parameters in our model and avoid multicollinearity problems while keeping as much variability in our predictions as possible, and to determine the relationship between each of the variables from the data roots and soil characteristics